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페이저듀티(PD) 2027 회계연도 2분기 실적 발표회: ARR 5억 달러 돌파, 마진 전망 상향

TradingKeyAug 27, 2026 11:52 PM
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페이저듀티는 2027 회계연도 2분기 매출이 전년 동기 대비 1% 증가한 1억 2,440만 달러를 기록했고, 연간 반복 매출(ARR)은 5억 100만 달러에 달했다고 밝혔다. 비GAAP 영업이익률은 24%였으며, 순매출 유지율은 98%로 개선되었다.

회사는 기존 오퍼레이션 클라우드를 'PD 리라이어빌리티 플랫폼'으로 명칭을 변경해 이번 분기 후반 정식 출시할 계획이며, AI 우선 플랫폼으로서 사용량 기반 요금제를 적용할 예정이다.

비고객 접점 직무를 중심으로 전체 직원의 약 15%를 감축하는 인력 구조조정을 단행했으며, 연간 매출 가이던스 하단을 상향 조정하고 비GAAP 영업이익률 전망치를 인상했다.

AI 생성 요약

핵심 요약

  • 매출은 전년 동기 대비 1% 증가한 1억 2,440만 달러를 기록했으며, 연간 반복 매출(ARR)은 이번 분기 동안 600만 달러 증가해 5억 100만 달러에 달했습니다.
  • 순매출 유지율(Dollar-based net retention)은 전분기 대비 개선된 98%를 기록했습니다. 연간 10만 달러 이상을 지출하는 고객 수는 전분기 대비 24개 늘어난 884개를 기록했습니다.
  • 비GAAP 영업이익률은 24%를 기록했으며, 잉여현금흐름은 3,300만 달러로 26%의 마진율을 나타냈습니다. 페이저듀티는 5분기 연속 GAAP 기준 흑자를 기록했습니다.
  • 페이저듀티는 기존 오퍼레이션 클라우드(Operations Cloud)였던 PD 리라이어빌리티 플랫폼(PD Reliability Platform)을 이번 분기 후반 정식 출시할 계획입니다. 이 AI 우선 플랫폼은 사용량 기반 요금제를 적용하며 자사의 자율 SRE 에이전트를 중심으로 운영됩니다.
  • 인력 구조조정으로 주로 비고객 접점 직무를 중심으로 전체 전 직원의 약 15%가 영향을 받았습니다. 경영진은 연간 비GAAP 영업이익률 가이던스를 25%~26%로 상향 조정했습니다.
  • 2027 회계연도 3분기 경영진 매출 전망치는 1억 2,300만 달러~1억 2,500만 달러, 비GAAP 영업이익률은 26.5%~27.5%입니다.

핵심 재무 실적

지표2027 회계연도 2분기 실적증감 및 배경 설명
매출1억 2,440만 달러전년 동기 대비 1% 증가; 해외 매출은 전체의 약 30% 차지
연간 반복 매출(ARR)5억 100만 달러분기 중 600만 달러 증가
비GAAP 매출총이익률85%경영진 목표 범위 내
비GAAP 영업이익2,950만 달러영업이익률 약 24%
GAAP 순이익470만 달러5분기 연속 GAAP 기준 흑자 달성
순매출 유지율98%전분기 대비 개선
연간 10만 달러 이상 지출 고객 수8842027 회계연도 1분기 대비 24개 증가
영업활동 현금흐름3,700만 달러
잉여현금흐름3,300만 달러잉여현금흐름 마진율 26%
현금, 현금성 자산 및 투자 자산4억 7,000만 달러분기 말 잔액
직전 12개월 청구액5억 100만 달러전년 동기 대비 1% 증가
총 잔여이행의무(RPO)4억 2,600만 달러전년 동기 대비 100만 달러 증가
12개월 이내 실현 예정 RPO3억 900만 달러전년 동기 대비 5% 증가

페이저듀티는 이번 분기 동안 760만 달러를 들여 자사주 약 80만 주를 매입했습니다. 분기 말 기준 1억 달러 규모의 자사주 매입 승인 잔액 중 9,240만 달러가 남았습니다.

사업 및 경영 성과

페이저듀티는 사용량 기반 오퍼레이션 클라우드 제품의 채택이 전분기 대비 의미 있게 증가했으며, 전체 기준으로도 두 자릿수 성장을 기록했다고 밝혔습니다. 이 제품은 이번 분기 후반 정식 출시될 때 PD 리라이어빌리티 플랫폼으로 명칭이 변경될 예정입니다.

이 플랫폼은 인간 팀원과 AI 에이전트에 걸쳐 장애 감지, 조사 및 복구를 통합합니다. 자율 SRE 에이전트는 운영 텔레메트리, 과거 장애 사례 및 자체 머신러닝 신호 지능을 활용해 장애를 식별하고 자율적으로 조사를 시작합니다. 경영진은 사용량 기반 요금제를 통해 엔터프라이즈 및 셀프서비스 고객 모두에게 이러한 기능을 제공할 수 있을 것으로 기대하고 있습니다.

고객 활동도 개선되었습니다. 플랫폼 이벤트 트래픽이 전분기 및 전년 동기 대비 모두 증가했고, 온라인 고객 유치가 활발하게 유지되었으며 해외 매출도 확대되었습니다. 경영진은 고객 계정 내 미사용 에이전트 비율 감소와 높은 플랫폼 활용도를 영업 성과를 뒷받침한 요인으로 꼽았습니다.

주요 수주 사례로는 다각화된 금융 서비스 기업과 체결한 약 85만 달러 규모의 3년 사용량 기반 계약, 워크플로 자동화 소프트웨어 제공업체와 체결한 300만 달러에 가까운 36개월 계약 등이 있습니다. 또한 한 일본 은행이 디지털 전환 프로그램의 일환으로 페이저듀티의 다수 제품을 도입했습니다.

페이저듀티는 고객이 가치 있게 여기는 제품 개발, 시장 진출(Go-To-Market) 전환 및 확장 개선, 비용 최적화라는 세 가지 우선순위를 중심으로 전략을 추진하고 있습니다. 회사는 실적 목표(Quota)를 부여받은 영업 역량과 제품 개발 리소스를 보존하는 동시에, 성장이 더 빠른 제품 및 영업 기회에 재투자하고 있다고 밝혔습니다.

경영진 가이던스

기간매출 가이던스비GAAP 주당순이익(EPS) 가이던스내포된 비GAAP 영업이익률
2027 회계연도 3분기1억 2,300만 달러~1억 2,500만 달러0.34달러~0.36달러26.5%~27.5%
2027 회계연도 전체4억 9,150만 달러~4억 9,650만 달러1.33달러~1.37달러25%~26%

3분기와 연간 매출 가이던스의 중간값은 전년 동기 대비 보합세를 의미합니다. 페이저듀티는 연간 매출 가이던스 하단을 상향 조정했으며, 영업이익률 전망치도 기존 24%~25% 범위에서 인상했습니다.

경영진은 2027 회계연도 잉여현금흐름 마진율이 2~4%포인트 하락할 것이라던 이전 전망과 달리, 2026 회계연도 수준을 유지할 것으로 예상하고 있습니다. 회사는 장기 비GAAP 영업이익률 목표 30%를 지속 유지하고 있습니다.

구조조정으로 인해 주로 퇴직금 및 관련 비용으로 약 550만 달러~750만 달러의 비용이 발생할 것으로 예상됩니다. 대부분의 비용은 3분기에 발생할 것으로 보이며, 해당 프로그램은 4분기 말까지 대부분 완료될 예정입니다.

리스크 및 관전 포인트

매출 성장률은 전년 동기 대비 1%로 제한적인 수준을 유지했으며, 경영진의 3분기 및 연간 가이던스는 중간값 기준 보합세를 나타냅니다. 유지율은 개선되었으나 순매출 유지율은 98%로 여전히 100%를 하회했습니다.

경영진은 사업이 안정화되는 모습을 보이고 있으나 페이저듀티가 아직 해결해야 할 과제가 남아있다고 당부했습니다. 사용자(Seat) 기반 구독에서 사용량 기반 요금제로의 전환은 과거의 사용자 축소 압박을 완화할 수 있으나, 향후 성장은 고객의 사용량과 회사의 AI 기능 채택 여부에 달려 있습니다.

또한 경영진에 따르면 AI 워크로드는 비결정론적 오류, 모델 표류(Model Drift), 환각 현상(Hallucination), 통제되지 않는 토큰 사용, 개인식별정보 유출 등 새로운 운영 리스크를 유발합니다.

애널리스트 Q&A 하이라이트

  • AI 자율성: 경영진은 고객이 자율 시스템을 도입함에 따라 인간의 개입을 유지하는 것이 여전히 적절하다고 밝혔습니다. 비교적 단순하거나 반복적인 사례에서는 이미 완전 자율 활용이 이뤄지고 있으며, 경영진은 시간이 지남에 따라 자율성 수준이 높아질 것으로 예상합니다.
  • 사용량 기반 요금제 채택: 엔터프라이즈 고객들은 플랫폼 도입 후 사용량이 증가하는 경향을 보이고 있습니다. 경영진은 사용량 기반 요금제를 고객 가치를 사용량과 일치시키고 AI 제품에 대한 접근성을 넓히는 방안으로 보고 있습니다.
  • 고객 유지율: 페이저듀티는 유지율 개선의 요인 중 하나로 AI 기능과 오퍼레이션 클라우드 사용량 모델의 결합을 꼽았습니다. 총유지율(Gross retention)은 2분기 연속 개선되었습니다.
  • 엔터프라이즈 파이프라인: 경영진은 AIOps 도입과 연간 지출 10만 달러 초과 계정의 신규 및 확장 수요가 다변화되면서 성장 모멘텀이 형성되고 있다고 말했습니다.
  • 비용 절감 및 재투자: 페이저듀티는 구조조정을 통한 총 절감액 수치를 공개하지 않았습니다. 회사는 절감액의 일부를 마진 개선에 활용하는 한편, 제품 개발 및 시장 진출 프로그램에 재투자할 계획입니다.

실적 발표 컨퍼런스 콜 전문


전체 실적 발표 컨퍼런스 콜 녹취록

경영진 발표

Operator

Hello, everyone. Thank you for joining us, and welcome to PagerDuty Second Quarter Fiscal Year 2027 Earnings Conference Call. [Operator Instructions] I will now hand the conference over to Christine Cloonan, Investor Relations Manager. Christine, please go ahead.

Christine Cloonan

Good afternoon, and thank you for joining us to discuss PagerDuty's Second Quarter Fiscal Year 2027 results. With me on today's call are John DiLullo, PagerDuty's Chief Executive Officer; and Eric Prengel, our Chief Financial Officer.

Before we begin, let me remind everyone that statements made on this call include forward-looking statements based on the environment as we currently see it, which involve known and unknown risks and uncertainties that may cause our actual results, performance or achievements to be materially different from those expressed or implied by these forward-looking statements.

These forward-looking statements include our growth prospects, future revenue, operating margins, net income, cash balance and total addressable market, among others, and represent our management's belief and assumptions only as of the date such statements are made, and we undertake no obligation to update these.

During today's call, we will discuss non-GAAP financial measures, which are in addition to and not a substitute for or superior to measures of financial performance prepared in accordance with GAAP. A reconciliation between GAAP and non-GAAP financial measures is available in our earnings release, which can be found on our Investor Relations website.

Further information on these and other factors that could cause the company's financial results to differ materially are included in filings we make with the Securities and Exchange Commission, including our most recently filed Form 10-K and our subsequent filings made with the SEC.

With that, I will turn the call over to John.

John DiLullo

Thank you, Christine. Good afternoon, everyone, and thanks for joining us today. Before I turn to the results for the quarter and provide an update on our progress, I would like to extend my humble thanks to PagerDuty's customers, our investors, our employees and our Board of Directors.

I recently celebrated my first 100 days at PagerDuty, and I'm grateful every day for the warm welcome I've received and the amazing opportunity with which I've been entrusted. Eric will walk through the full financial details on Q2 and the remainder of FY '27 later in the call. But first, I wanted to open with a few highlights from the quarter. I was especially proud of several things in Q2, including our sales teams delivering incremental new customer wins and existing customer expansions.

These exceeded guidance and powered our ARR over the $500 million milestone for the first time. We also saw brisk new customer acquisition through our online sales efforts, continued growth in our population of enterprise accounts with ARRs over $100,000 and expansion of our sales overseas.

Retention rates improved sequentially. Event traffic on the platform grew nicely both quarter-over-quarter and year-over-year and adoption of our Operations Cloud usage-based platform continued to gain traction, growing meaningfully quarter-over-quarter. I was also proud of how fiscally disciplined the team remained all quarter, exceeding guidance on operating margin and EPS.

We see a clear path to our 30% long-term non-GAAP operating margin target, and we expect to accelerate progress toward it in Q3 and Q4 as we realize the impact of the restructuring we announced earlier today. In my short time here, one thing is clear. This is an extraordinary moment for technology, propelled by the speed, scale and impact of AI.

We exist to keep mission-critical digital ecosystems resilient and running. And just as the Internet transformed commerce and the smartphone transformed communications, AI coding tools are now transforming how enterprise software gets built and run. That shift is a massive opportunity for PagerDuty.

Today's digital workloads are significantly more complex than their predecessors. They fail differently. They fail at higher rates, and they are far more difficult to debug. As a result, production software disruptions and application outages have become incredibly costly board-level events. Over the next decade, organizations will move from managing hundreds of critical services to thousands and eventually tens of thousands of interconnected services, workflows and autonomous agents, each one creating more decisions, more automation and more operational risk.

At that scale, a new risk layer emerges, autonomous agents making and executing decisions across systems at machine speed that multiply operational complexity and drastically magnify the consequences when something goes wrong. The stakes have never been higher, and today's leaders recognize what is at risk. 95% say reducing incidents and speeding recovery is now a source of competitive advantage and 77% plan to increase their investment in operational resilience over the next 12 months.

The question is not whether this emerging complexity and these incident landscapes will need to be managed. The question is how. And we believe this is exactly where PagerDuty's opportunity is expanding the fastest. Our platform uniquely scales to address the changing dynamics of AI-fueled enterprise software operations. With more than 15,000 paying customers relying on the PagerDuty platform, including nearly 2/3 of the Fortune 100, we see firsthand the massive volume of AI-generated enterprise software now being deployed and exactly how it's evolving.

Increasingly, code is not only being written by AI, it is being tested by AI. And in a growing number of cases, it is even being released to production with minimal human review. Enterprises are not simply running more software, they are running more dynamic software, software that generates actions, triggers workflows and increasingly leverages nondeterministic agentic processes in its execution.

During the quarter, we sharpened PagerDuty's focus on our customers and specifically their emerging requirements. Namely, we have pivoted the company to focus relentlessly on just three things: first, building products that our customers love; second, activating go-to-market motions that convert and expand; and third, optimizing every expense that doesn't directly aid to the first two focus areas.

Our mantra is build, sell, optimize and every road map bet, every go-to-market investment and every dollar of spend now gets tested against these three objectives. Regarding our first focus area, building, this quarter alone, we shipped major upgrades to our autonomous SRE agent, our incident management life cycle integration and our agentic solution for simplifying on-call shift management.

The bigger story this quarter is the upcoming general availability of the PagerDuty Operations Cloud, our usage-based AI-powered platform that automates and orchestrates the entire incident management life cycle. Over the past few quarters, we've shared our progress on Operations Cloud, continuing to invest in innovation that moves PagerDuty from incident detection to incident prevention.

As I mentioned earlier, Operations Cloud sales accelerated in Q2, and customers are telling us what makes the offering unique. Operations Cloud is one integrated platform architected around the two things reliability actually requires, resilience and prevention. To reflect that distinction, we're renaming Operations Cloud to the PD Reliability Platform when it is released to general availability later this quarter.

The PD Reliability Platform is the next generation of Operations Cloud, an AI-first integrated platform where blended teams of agents and humans detect, investigate and remediate incidents together. It doesn't just help enterprises respond faster. It helps them prevent the next disruption before it happens, and dozens of customers are already realizing value from this approach.

Our SRE agent prominently sits at the center of the platform. This is one of the hottest emerging categories in the industry, and PagerDuty's approach is powerfully differentiated. The PagerDuty SRE agent builds on an understanding of our customers' applications and infrastructure, learns from the existing knowledge base, reads production telemetry and builds operational memory from every past incident.

Uniquely, it detects disruptions early using proprietary ML-based signal intelligence to mobilize agents and start investigating autonomously. Upon general availability scheduled for this fall, the PD Reliability Platform will be available to every customer for purchase, including our self-serve community. Our usage-based pricing democratizes access to critical agentic capabilities and now gives every customer the benefit of our most advanced features from day 1 rather than treating each as a separate upsell.

In the long run, we believe this approach will drive higher adoption and foster greater customer loyalty. Periodically, we'll share details on the adoption and performance of the PD Reliability Platform.

On our second focus area, selling, we're launching a vibrant new marketing campaign this quarter, continuing to prioritize hiring for sales capacity and adding more forward deployed engineers into the field. Our ecosystem keeps growing. Anthropic, Cursor and LangChain are integrating alongside us and AI native leaders like CoreWeave and Anduril are building on PagerDuty. At the same time, our team continues to hone their skills in developing use cases and sales plays for the native AI capabilities.

Lastly, in our third focus area, optimizing, we're carefully examining every investment across PagerDuty and aligning it with our revenue and operating margin objectives. As part of that effort, this week, we completed a meaningful workforce restructuring. These are never easy decisions, but we believe they leave the company stronger, sharpening our focus and prioritizing investment on the sales and engineering work that matters most.

Of note, we focused on maintaining our quota-bearing sellers and our product teams addressing the most robust growth opportunities. Affected roles were concentrated in support functions now being automated and in areas where process simplification and tool consolidation allowed us to reduce our resource footprint.

With the help of AI, we are improving the quality of service we deliver to our customers, strengthening retention and in turn, yielding durable productivity gains. Autonomous support deflection, faster code creation and frontier model deployments have already driven a dramatic improvement in our internal case handling capabilities and a significant reduction in our own support backlog. When combined with a broad reevaluation of our software estate and other fixed and variable service costs, these gains free up real capacity. Capacity we're reinvesting directly into our fastest-growing products and the go-to-market opportunities with the greatest yield.

It's early days, but we do believe that our Q2 results provide a meaningful signal that our strategy is already gaining traction. I want to provide our investors a clear way to pace and measure our progress. First, we will strengthen retention rates by delighting customers with great products and excellent support.

Second, we will scale platform adoption to drive revenue and additional customer value with a reinvigorated PLG motion and a step function improvement in our demand generation efforts.

And third, as one and two take hold, we will drive ARR acceleration. We are focused on driving platform adoption and customer satisfaction as well as improving critical metrics such as net new ARR, DBNR, large customer growth and non-GAAP operating margin.

Earlier, I mentioned that this quarter, we saw brisk new paying customer acquisition, growth in our customer population with ARRs over $100,000 and growth in our sales overseas. Before Eric shares more detailed financials, I wanted to provide a few concrete examples. A leading diversified financial services firm signed a roughly $850,000 3-year usage-based Ops Cloud agreement, automating its incident management strategy with our ML-based signal detection and autonomous SRE capabilities.

In an industry where reliability, compliance and uptime are nonnegotiables, this is another example of a sophisticated buyer choosing PagerDuty as its reliability platform. In Japan, a leading bank undergoing a major digital transformation chose PagerDuty on the strength of our SRE automation capabilities.

In a business where operational resilience is the product itself. This was a multiproduct win spanning incident management, AIOps, automation and analytics, all anchoring a customer-owned efficiency thesis of reducing operating expense by 40%, a direct validation of our AI narrative.

One of the world's largest enterprise software platforms for workflow automation signed a 36-month agreement worth nearly $3 million, one of our largest new logo wins so far this year. Its significance goes beyond size. It reflects growing recognition among the largest platform companies that resilience and incident management are hard to replicate in-house and that PagerDuty is the trusted source when companies decide to buy rather than build.

We also won a fast-growing U.K. AI infrastructure provider that had previously bet on a start-up competitor to reduce costs. This customer was quite outspoken. They shared that PagerDuty earned this business back handily based on our reliability, superior integration and our SRE agent and AI-assisted operations capabilities. Beyond the numbers, we continue to receive strong external validation this quarter.

We won two SaaS awards, Best enterprise-level SaaS product and Best SaaS solution for IT and DevOps. Forrester named us as one of the notable vendors in their AIOps platform landscape for Q2. IDC featured us in their latest market overview of cloud-native software engineering solution, and we also earned spots in the 2026 Inspiring Workplaces list across multiple geographies.

In closing, I want to thank all of our employees for their incredible contributions this quarter. Their work is what helped us to delight our customers and is further proof that reliability isn't just a feature we sell, it's who we are. I also want to thank our customers for trusting us with their most critical operations, our partners for growing alongside us and our shareholders for their continued confidence as we invest in the next phase of PagerDuty's growth. We are proud of this quarter and even more excited about what's ahead.

And with that, now I'll turn it over to you, Eric.

Eric Prengel

Thank you, John, and good day, everyone. I'm excited to be here at PagerDuty. I've been close to PagerDuty for over 7 years going back to the IPO process where I supported the company from the banking side. It has always been clear to me that this is an outstanding company with a fantastic culture. I watched from the outside as the products evolved and PagerDuty maintained its market leadership position. And over that same period, the opportunity in front of the company has only grown.

Today, as the market shifts towards AI-driven operations, PagerDuty is positioned at the center of that transformation with a massive opportunity in front of us. I'm excited to be working alongside this team to build long-term value for our customers, shareholders and employees.

Now on to the details of the quarter and our outlook. Unless otherwise stated, all references in my remarks to our operating margins, gross margins, net income and net income per diluted share are on a non-GAAP basis and are reconciled to our GAAP results in the earnings release that was posted on our Investor Relations website before the call.

Revenue was $124.4 million, up 1% year-over-year, exceeding the top end of our guidance, with international revenue contributing about 30% of the total. Gross margin was 85%, which is within our target range, and non-GAAP operating margin was $29.5 million, a 24% operating margin, above the high end of our guidance.

On a GAAP basis, net income was $4.7 million, our fifth consecutive quarter of GAAP profitability. Our confidence stems from the positive signs in the business with annual recurring revenue crossing the $500 million milestone, ending at $501 million, an increase of $6 million in the quarter. Dollar-based net retention was 98%, up sequentially and annualized gross retention also improved sequentially. As we implement the new build, sell optimize approach that John highlighted, we were pleased to see positive results across a number of key metrics in the business in Q2.

Customers spending over $100,000 annually grew to 884, an increase of 24 since Q1 '27. In terms of cash flow for the quarter, cash from operations was $37 million and free cash flow was $33 million, representing a 26% free cash flow margin.

Turning to the balance sheet. We ended the quarter with $470 million in cash, cash equivalents and investments. On a trailing 12-month basis, billings was $501 million, an increase of 1% compared to a year ago. Total RPO was $426 million, $1 million higher than year-over-year. Of this amount, approximately $309 million is expected to be recognized over the next 12 months, which represents a 5% year-over-year increase versus Q2 FY '26.

During the quarter, we repurchased nearly 800,000 shares for $7.6 million. As of the end of Q2, we still have $92.4 million remaining of the $100 million share repurchase authorization. We remain committed to managing dilution. Accordingly, we are focused on both what we repurchase and what we issue.

As John mentioned earlier, we underwent a workforce restructuring this week, which will allow us to prioritize key sales and engineering investments. I want to provide you with further financial details on the workforce restructuring John mentioned. The reduction impacted approximately 15% of our workforce concentrated in noncustomer-facing roles while focusing on maintaining our quota capacity and product development expertise.

We expect to recognize approximately $5.5 million to $7.5 million in restructuring charges, primarily severance and related costs, with the majority recognized in Q3 and substantially complete by the end of Q4. On a run rate basis, we expect significant savings, which gives us room to reinvest in the areas of the business growing fastest while also supporting the margin guidance I'll walk through in a moment.

And now turning to guidance. For the third fiscal quarter of 2027, we expect revenue in the range of $123 million to $125 million, with the midpoint approximately flat year-over-year and net income per diluted share attributable to PagerDuty, Inc. in the range of $0.34 to $0.36. This implies an operating margin of 26.5% to 27.5%.

For the full fiscal year 2027, we expect revenue in the range of $491.5 million to $496.5 million, with the midpoint approximately flat year-over-year. We have raised the low end of our FY '27 revenue guidance to reflect the confidence we have in the business and the strength we have seen so far in the first half performance. We expect net income per diluted share attributable to PagerDuty, Inc. in the range of $1.33 to $1.37 for FY '27, an increase primarily based on cost reductions associated with the restructuring we undertook this week.

This implies operating margin guidance of 25% to 26% for FY '27, an increase to our prior operating margin guidance of 24% to 25% and accelerating our trajectory to our target operating margin of 30%.

Additionally, we wanted to provide an update on our outlook for operating cash flow. Going into FY '27, we provided some points to assist with modeling, suggesting that our free cash flow margin would be 2 to 4 points lower than it was in FY '26. With the restructuring and cost savings we undertook this week, we now expect our free cash flow margin to be in line with our FY '26 free cash flow margin.

Let me leave you with what matters most. Retention is stabilizing, new business demand is strong, and we're optimizing for profitable growth while returning cash to investors through buybacks. AI increases the criticality of PagerDuty, making us more relevant, not less. We're early in this journey, but we're increasingly confident that the advent of the AI era will prove to be a powerful tailwind for PagerDuty. And with that, we'll open the call for Q&A.

Operator

[Operator Instructions] Your first question comes from the line of Kingsley Crane from Canaccord.

질의응답

William Kingsley Crane

Great. Great to see the results. John, you've talked about in the prepared remarks, blended teams of agents and humans in the PD Reliability Platform. I just want to get your take if having humans in the loop is a core tenet you want to keep over time? Or how much is that dictated by customer readiness? And then in terms of PagerDuty being a control plane for AI, like to what extent do you think there's an opportunity to govern or orchestrate third-party agent execution?

John DiLullo

Thanks for the question. As far as the first part of having humans in the loop, especially in the handling of cases, that feels like a very natural motion for us right now that seems to be received and embraced a little bit better by customers as they're leaning into autonomous agents and autonomous workload protection. And so that feels like the right motion for us now as we move to more and more autonomy ultimately.

There's another element there also, there's RLHF, right, reinforcement learning that we're able to derive as we go side-by-side with our customers and learn from the actions that they're actually taking and that potentially gives us the opportunity to provide higher fidelity down the road. As for ultimately including fully autonomous solutions, we certainly are seeing some of that now on some simple cases or on cases that are often repeated.

That is some of the customers that are leveraging our SRE agent in autonomous mode are getting some of the best ROIs, I'd say, and seeing some of the most rapid acceleration. I think over time, the amount of autonomous will go up. But for right now, it doesn't really change our plan. This is -- the way we've introduced it feels very natural both to us and to our customers.

William Kingsley Crane

Great. That's helpful. And then just to follow up for Eric, really great to be working with you again, first of all. But just -- so on the Ops Cloud or Reliability Cloud Platform conversions, we have a couple of quarters now of data. Just curious how you're thinking about ARR -- change in ARR at the point of conversion, like how wide that dispersion could be when a customer converts?

Eric Prengel

Thanks, Kingsley. Really appreciate the question. And so as you think about Ops Cloud, we think about it as a big opportunity to not just have our customers use our product and use the products they're using, but for them to actually use more of our products and to try new products that they weren't able to use before. So they're getting a lot more value out of our capabilities than they were before.

And one thing I'd call out, we didn't give an explicit metric around Ops Cloud or usage this quarter. It's not something that we're going to report regularly, but we did see strength in that business. We saw it to continue to do well and grow nicely. It actually grew double digits on a total basis. So it was very positive and something that we're happy to see.

John DiLullo

Kingsley, I would add to that also as part of the PD Reliability Platform, what Eric said is 100% right. We're seeing an incredible amount of energy in that -- in the Ops Cloud space and now on the PD Reliability Platform. But it's also democratizing AI.

And so it's giving all of our customers, including the customers that we work with in PagerDuty online, access to these AI capabilities. And we do think it's going to be a catalyst for even more adoption down the road. But it was a great question, Kingsley. Really appreciate it.

Operator

Your next question comes from the line of Andrew Sherman from TD Cowen.

Andrew Sherman

Eric, congrats on the new job and good to work with you again. John, it would be great to get an update on customer feedback on the usage-based model and how aggressively you think you could push this in the second half and really how much usage grows for the customers that are already on it? And then bigger picture, the pipeline of enterprise deals in the second half, how is that looking?

John DiLullo

Thanks, Andrew. Thanks for joining the call. We -- first of all, since I've been here, I've been spending a lot of time with customers, as you would imagine, and met dozens of them and through them -- talking through with them their adoption plans. Certainly, the hurdle or the barrier for people to experience our product and to experience our AI and our Agentic solutions is much lower in the AI, the AI cloud model because they get the opportunity to experience it in a bite-size consumed way. It's also a very natural way to align value with usage. And so very powerful from that perspective.

I would also say that the customers that we are seeing, in particular, the enterprises that are adopting it, we do see a nice trend, a nice usage trend as their time with the product continues. And I would also just say that -- as far as your question about the pipeline and the momentum that's building in the product, it is building.

I mean we saw meaningful growth on a quarter-on-quarter basis. But also, you may have noticed that we had a significant increase in our number of 100,000 customers on a quarter-on-quarter basis. And a lot of those sales opportunities were initiated and encouraged by the -- by customers embracing the AIOps solution. So very, very comfortable with the progress that we're making there and the outlook.

Andrew Sherman

That's great. And Eric, on the gross retention, good to see that moving in the right direction, especially net rev retention to 98%. Not asking you to guide for the second half, but do you think that can keep improving in the second half? And what gives you the confidence of that?

Eric Prengel

Yes. Thanks for the question, and great to be working with you again. We were happy with what we saw on the net revenue, the dollar-based net retention that going up to 98%, which is a nice inflection and stabilization. And it's actually 2 quarters in a row that we've talked about the gross revenue retention being up. So that's a really nice trend that we've seen.

As you think about that, I think about it as a sign, hopefully, for stabilization in the business. And we're really focused on continuing to improve both gross retention and dollar-based net retention over both the immediate term and long term, and it's something that's been a big focus for me and John as we start to -- as we're spending a lot of time on that part of the business.

John DiLullo

Yes. I would add that the magic ingredient seems to be having -- we have a collection of solutions, AI solutions for PagerDuty, adding that together with this new consumption model, this new Ops Cloud consumption model, seems to be the magic elixir for -- also for better retention, and that's definitely helping us.

Operator

Your next question comes from the line of Sanjit Singh from Morgan Stanley.

Sanjit Singh

Congrats on the nice improvement quarter-over-quarter, especially on the net new ARR side. John, as you spent some time now with the business, just from a portfolio perspective and you look at the different areas where the Ops Cloud sort of plays in and the different capabilities, are there other areas that you sort of as potential adjacencies for PagerDuty to drive continued growth?

Or are there areas where you guys may pull back on and sort of rationalize? I know you guys did the headcount reduction to invest more. And so I just want to get a sense of, one, where those investments are directed? And then two, where else does PagerDuty have a right to win?

John DiLullo

That's a great question. So I'll break it out in a couple of ways. We're doing and adding a lot of capabilities to our core product. And some of those have AI capabilities as a component of them. And I'll break out our AI capabilities into two tranches. One would be AI for PagerDuty. That's using AI to make the PagerDuty experience more rich, more proactive, more preventative.

And the second one is PD for AI or PagerDuty for AI solutions. And in particular, when you're talking about where do we have the right -- I think we really have the right in the PD4 AI category. And I'll point to a couple of things, but you think about the sheer volume of software that's being added and written and created right now and then also think through the fact that a lot of this is nondeterministic software. It tends to break more often. It's much more fragile.

We think that's going to create an incredible opportunity for us as these workloads, these agentic nondeterministic workloads start to enter production. The other element that I would also say is as these workloads come into production, we know they're going to fail differently. They're going to -- people are going to worry about other things like drift, like hallucination, like token runaway, like PII leakage, all these areas.

And so the tsunami hasn't maybe hit quite yet, but we know that these AI workloads are starting to enter production in a lot of our enterprise accounts. And so I think that's going to be one of the greatest areas for us to get further penetration.

Sanjit Singh

Yes. No, that's super interesting. And my next question for Eric. First, congrats on the role. Excited to see you on PagerDuty. When I think about sort of the headwinds to the business over the last several years, some of that's obviously been on the seat side of the equation. And obviously, Ops Cloud with the consumption model can address a lot of that.

But just in terms of like where we are on the headwind from seat trend, do you feel like we're kind of past the worst of it when it comes to that? How do you sort of see the rest of the year playing out from a seat perspective?

Eric Prengel

Yes, it's a great question, Sanjit, and it's a pleasure to be working with you again. I think that Ops Cloud and that usage model is a great way for us to kind of take away some of the challenges that we've historically experienced around seat compression. This quarter, we saw a lot of positivity as you saw, dollar-based net retention sort of inflected upwards. Gross retention was positive. And so we were really happy to see that. I think we're doing a lot of work that John talked about with the product, and I think that's going to make us stickier and help us in terms of our traction with our customers.

But I think ultimately, as you think about the way that the world is changing and that we're moving more towards AI, which is a place where we think we can be a massive beneficiary, we're going to be moving away from so much of that seat pressure and moving more towards a world in which people are getting benefit from us and using us on a usage basis and using our AI capabilities, and that's really what's going to drive our growth.

John DiLullo

I would just add to that, that we had a rough couple of quarters. We still have a lot of work to do and not necessarily signaling that, that work is over at this point. But we do see the new products gaining traction, and we do feel like the business is stabilizing in the last 2 quarters in particular, I think, have alluded to that. But we know -- we -- like I said, we still have work to do, Sanjit, but I appreciate the question.

Operator

Your next question comes from the line of Jonathan Ngo from Truist Securities.

Jonathan Ngo

This is Jonathan Ngo, Truist Securities in for Miller Jump. Congrats on the great quarter, a lot of positive points. I wanted to ask maybe around some of those 100,000 customer adds in the quarter. And can you maybe walk us through like some of the specifics driving those adds maybe between product-led growth and go-to-market?

John DiLullo

Yes, sure. I think -- thanks for the question, Jonathan. I appreciate it. We saw a mix, which I really liked seeing. It wasn't like -- all of them came through the PLG motion or from PD Online or they weren't all graduations. We saw a very good mix. We even saw -- I think the sales team is really starting to get their confidence. They're starting to understand the sales process. They're familiar with how to quote and characterize the usage-based products. And so I would say it was broad. There were some marquee names in there.

There were -- we continue to see growth with our frontier with company -- frontier models, frontier model companies that have embraced the technology. And I would say that the diversity of the 24 new enterprise accounts that we added on a quarter-on-quarter basis was probably -- you alluded to it there was probably one of the most reassuring things.

Jonathan Ngo

And then great. Just one more follow-up. So I know Anthropic was named again as an expand this quarter amongst many great others. Can you maybe walk us through like what products have expanded to you and how these larger enterprises are kind of expanding their platform breadth with PagerDuty?

John DiLullo

Yes. No, it's a great question. And I want to be careful not to share anything proprietary or any intellectual property there. But what I will say -- what I would share with you is that I think this is evidence that we're doing a great job at the component that I mentioned, PD for AI or PagerDuty for AI. And so these are some pretty interesting new novel use cases that the frontier models are exploring.

And I think we have most of the big ones as customers and are really enjoying learning right alongside of them, seeing the energy in the business is exciting. And like I mentioned, I think we're learning alongside of them things that we can -- tactics that we can help in our other customers. So the relationships are very strong and progressive. And I would say that mutually beneficial as well.

Operator

Your next question comes from the line of Jeff Van Rhee from Craig-Hallum Capital Group.

Jeff Van Rhee

Maybe just a few for me. On the sales front in terms of sales cycles, what are you seeing with respect to competition and really what customers are asking? I'm really just kind of curious, change in sales cycles, duration, competitive landscape and sort of the dialogue with the customers, concerns, things they are asking you about?

John DiLullo

That's a great question, Jeff. Competition is always there. It's an interesting space to be in, but we're doing -- I think we're really enjoying this environment. And I actually think that competition helps you to hone your skills and focus the work that you're doing. What I would point to, in particular, is we are seeing underlying elements of our platform coming together in a very positive way. We see, for instance, we see continued utilization and event throughput on the platform growing very nicely.

We also see customers with idle agents or agents -- excess agents that they bought, we see that population coming down and down. And so the number of idle agents in a customer's estate is getting smaller. I think those two things are actually helping us and helping our win ratios and our speed of deal closure pretty dramatically, and we saw some of that this quarter. If there's not excess usage and if there is some pent-up demand inside the accounts, the sales cycles move a little bit faster. And so it was definitely a feature, I think, of this quarter.

Jeff Van Rhee

Yes. Got it. Maybe one last for me. Eric, on the reduction in force, what is the gross savings? Just trying to get a sense of the gross savings and then how much you're reinvesting? I think you referenced you're going to be doing that?

Eric Prengel

Yes, great question. And we're not disclosing explicitly the gross savings, but what I will tell you is this. In Q2, we had a 23.7% non-GAAP operating margin. Our guidance for Q3 is between 26.5% to 27.5% for our non-GAAP operating margin. So think about that as a 3.5 point increase. So it's a nice increase on the year.

Additionally, our full year guide before -- at Q2, we've been talking about a 24% to 25% non-GAAP operating margin. We went ahead and raised that by a full point because of what we're seeing in terms of savings. So now it's 25% to 26% and free cash flow is doing something similar, where we said at the beginning of the year that we thought we'd be 2 to 4 points behind where our free cash flow margin was in FY '26. Now we're saying that we're going to be in line. So a meaningful increase in terms of the bottom line.

In addition to that, we're going to be taking some of those savings and reinvesting them so we're going to invest both on the product side as there's a lot that we're doing with the phrases that John very well coined, AI for PD and PD for AI, and we're also going to be putting money into the go-to-market motion.

So we're going to see a nice uptick on operating margin, which is going to get us to hopefully accelerate that path to the 30% target margin that we talked about, and we're also going to see the ability to reinvest in the business. So a lot to be excited about.

Operator

[Operator Instructions] There are no further questions at this time. I will now turn the call back to John DiLullo, Chief Executive Officer, for closing remarks. John, please go ahead.

John DiLullo

All right. Thank you, and thanks for the great questions. We sincerely appreciate your participation today. If there's something to take away from this call, I think it should be that we are focused on building a great company, delighting our customers and rewarding our investors.

Today, we gave you a glimpse of the green shoots emerging and early signs that our build, sell, optimize strategy are taking root. But we're even more excited about what's ahead, and we look forward to chatting more in the quarters that follow. Thank you so much for joining our Q2 call. We'll see you next quarter.

Operator

This concludes today's call. Thank you for attending. You may now disconnect.

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