Upland Software (UPLD) 2026 年第三季法說會：客戶流失拖累營收，利潤率計畫持續推進

重點摘要

• Upland Software 公布 2026 年第三季營收為 4,750 萬美元，較去年同期下降 6%，但高於其 4,570 萬至 4,870 萬美元財測區間的中位數。
• 訂閱與支援營收年減 5% 至 4,530 萬美元，占總營收的 95%。核心有機成長率為 -3.9%。
• 調整後 EBITDA 為 1,260 萬美元，利潤率為 27%。該利潤率優於 2026 年第二季的 26%，但低於去年同期的 32%。
• 三起客戶流失事件對本季造成影響，並導致第四季展望轉趨保守。管理層將客戶流失歸因於客戶縮減成本，以及在轉向 AI 導向應用場景的過程中淘汰了傳統應用程式。
• Upland 本季產生 270 萬美元的自由現金流，並償還了 420 萬美元的定期貸款本金。期末淨槓桿比率為 3.7 倍。
• 管理層目標在 2028 年上半年將調整後 EBITDA 利潤率提升至約 35%，同時優先聚焦於客戶留存、通路拓展、AI 相關應用場景以及持續降低負債。

關鍵財務數據

2026 年前九個月，營業現金流為 1,370 萬美元，自由現金流為 1,350 萬美元。Upland 在同期償還了 1,310 萬美元的債務。

截至季末，遞延營收為 6,970 萬美元。剩餘履約義務總計 1.644 億美元，其中約 65% 預計將在未來 12 個月內認列。

業務與營運表現

Upland 在本季新增了 77 家客戶，其中包括 10 家大型客戶。該公司還擴展了與 185 家現有客戶的合作關係，其中包括 14 起重大業務擴展。

該公司已將其產品組合劃分為三大群組：知識與聯絡中心管理、內容生命週期自動化，以及垂直產業解決方案。管理層表示，這些業務服務超過 1,100 家企業客戶，並正圍繞支援 AI 的企業知識、內容與數據工作流程進行定位。

在知識與聯絡中心管理方面，管理層強調了對經認證、具備權限感知且能支援 AI 代理的知識庫需求。Upland 入選了 Gartner 2026 年 7 月發布的客戶服務知識管理系統魔力象限 (Magic Quadrant)。

在內容生命週期自動化方面，一家醫療保健客戶導入了 AI 智慧擷取功能，在其處理的數百萬份病患文件中實現了 94% 的自動化。管理層指出，此案例證明了以合作夥伴為主導的經銷模式具有巨大潛力。

垂直產業解決方案的新斬獲包括：加拿大某大型警察機構採用 Upland 的電信費用管理平台，成為年度經常性收入 (ARR) 達六位數的新客戶。該公司還與一家採用 BA Insight 平台的四大專業服務機構簽署了六位數 ARR 的擴展合約。

Upland 於 8 月任命 Carahsoft 為其政府總經銷商，透過 Carahsoft 的經銷商網路與合約架構，為旗下四款產品開啟公共部門的經銷通路。

管理層財測

以中位數計算，第四季營收財測代表年減 6%。管理層縮窄了全年預估區間，以反映客戶流失的影響，同時維持對獲利能力的預期。

展望 2027 年，管理層預期 Upland 將維持穩健的正向自由現金流，透過提高留存率與通路合作夥伴關係實現營收回穩，隨著成本控制措施見效而擴大獲利率，並在每季持續償還債務。正式的 2027 年財測預計將於 3 月隨 2026 年第四季及全年業績一同公布。

該公司的三階段計劃包括：在 2027 年初前進行精簡與去槓桿化；在 2027 年期間實現穩定與擴張；並在 2028 年及以後透過新的 AI 相關應用場景帶動成長。管理層尚未提供具體的 2028 年營收成長目標。

風險與觀察重點

三起客戶流失事件拖累了第三季業績及第四季展望。管理層將這些事件歸因於面臨財務壓力的客戶縮減了內部應用程式的使用量，以及客戶在轉向 AI 導向工作流程時淘汰了傳統應用程式。

核心產品營收較去年同期減少 240 萬美元，其中包括訂閱與支援營收減少 180 萬美元，以及專業服務營收減少 60 萬美元。總營收下滑中的另外 60 萬美元，則來自 2025 年出售的產品線與逐步淘汰的資產。

雲端託管與運算基礎設施成本增加，導致毛利率從 77% 下滑至 76%。

Upland 目前仍面臨 Nasdaq 上市合規問題。該公司必須在 2027 年 1 月 27 日之前，重新符合 Nasdaq 全球市場（Nasdaq Global Market）對公開持有股份最低市值 1,500 萬美元的規定。管理層表示，預期上市地位的變更不會影響營運或與利害關係人的關係。

分析師問答重點

Needham 分析師 Scott Berg 詢問 Upland 預期如何在 2028 年重返成長。執行長 Sean Nathaniel 表示，這一契機取決於客戶從傳統工作流程轉移至 AI 導向應用場景，屆時 Upland 能為企業知識、內容與數據提供支援。他婉拒提供具體的成長目標，並指出隨著 2027 年計劃的展開，將會浮現更明確的方向。

Berg 還詢問該公司為何無法更快達成約 35% 的調整後 EBITDA 利潤率目標。財務長 Jennifer Simon 表示，成本優化必須謹慎掌握節奏，以避免危及業務運作。Upland 正努力在縮減成本與維繫客戶、AI 機遇及通路擴展之間取得平衡，更多細節預計將於 3 月發布 2027 年財測時公布。

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管理層陳述

Operator

Good morning, and welcome to the Upland Software Third Quarter 2026 Earnings Conference Call. My name is John, and I will be coordinating your call today. A question-and-answer session will follow the formal remarks. As a reminder, this conference is being recorded.

I will now turn the call over to the company's Chief Financial Officer, Jennifer Simon, to begin. Jennifer, please go ahead.

Jennifer Simon

Good morning. Thank you for joining us for today's conference call and review of our results for the third quarter ended September 30, 2026. Joining me today to review the results is Upland's President and CEO, Sean Nathaniel.

Yesterday afternoon, Upland issued its earnings release. As a reminder, the earnings release and statements made during today's call will include statements that are considered forward-looking within the meanings of the securities laws. A detailed discussion of the risks and uncertainties associated with such statements is contained in our periodic reports filed with the SEC. The forward-looking statements made today are based on our views and assumptions and on information currently available to Upland management. We do not intend or undertake any duty to release publicly any updates or revisions to any forward-looking statements.

On this call, we will refer to non-GAAP financial measures that, when used in combination with GAAP results, provide Upland management with additional analytical tools to understand its operations. Upland has provided reconciliations of non-GAAP measures to the most comparable GAAP measures in our press release announcing our financial results, which is available on the Investor Relations section of our website. Please note that we are unable to reconcile any forward-looking non-GAAP financial measures to their directly comparable GAAP financial measures because the information which is needed to complete a reconciliation is unavailable at this time without unreasonable effort.

And with that, I'll turn the call over to Sean. I will return later to discuss the Q3 financial results and updated financial outlook in more detail. Sean, over to you.

Sean Nathaniel

Thank you, Jennifer, and good morning, everyone. It's nice to be speaking with you today. It's been several quarters since Upland last hosted an earnings call and restoring a regular cadence of communication with our shareholders is a deliberate choice. Now, I returned to Upland as CEO on May 1 with an unusual vantage point. I know this company from the inside and have spent several of the last years working on the problem our customers most need solved. From 2013 to 2019, I was Upland's Chief Technology Officer and part of the leadership team that took Upland public in 2014 and the leader of our workflow automation solutions business, which exceeded $100 million in ARR when I left. Most recently, I was CEO of an enterprise data management company, helping some of the world's largest organizations get their unstructured content under control. I know our products, I know many of our customers personally, and I know what it takes to make enterprise data ready for the AI age.

So, let me start with where Upland is today. Our software is mission-critical. It's embedded inside the daily workflows of more than 1,100 enterprise customers across knowledge management, content lifecycle automation and vertical-specific business processes. That position is our foundation. We view Upland as the intelligence layer for the enterprise, one that unifies and contextualizes enterprise knowledge, content and data that our customers already trust us with and turn it into actionable AI-powered outcomes for every human and every agent. We've organized our portfolio into 3 product groupings, each aligned to the market and customers it serves. The product groupings are knowledge and contact center management, content lifecycle automation and vertical solutions. As I noted in my letter to shareholders in July, already being inside these accounts is a rare advantage in the AI era. Our customers' data, along with their valuable metadata, decades of business rules and permissions, already live in Upland products.

Rebuilding workflows and institutional knowledge to adopt AI can be a risky and costly proposition. Many are turning to us to activate what they already have to power AI and agentic strategies, and we're well positioned to help them do just that. I also want to remind everyone of how we got here. Upland's first chapter was built through acquisitions at attractive multiples with the business run for margin. That model served us well until multiples rose and niche consolidators crowded the market. Our second chapter focused on finding organic growth levers across a wide portfolio of acquired businesses. The chapter we're in now is about aligning to where the market is headed. Having HGGC as a long-term sponsor since 2022 gives us a stable foundation and the room to make deliberate choices. We have narrowed and focused our portfolio. And in the second quarter, we positioned our business around emerging AI use cases where we have a demonstrated right to win.

So, let me lay out our road map for this chapter and how it creates value for our stakeholders. We're executing a 3-phase plan. Phase 1 is simplify and delever, which runs from now through early 2027. It covers reorganizing into our product groupings, rightsizing our cost structure, tiering the portfolio so that each product gets the investment that matches its role and paying down debt. Phase 2 is stabilize and expand in 2027. The focus shifts to retention, ramping our channel partnerships, selling AI capabilities into our installed base and expanding adjusted EBITDA margins to our target of approximately 35% in the first half of 2028.

Phase 3 is growth in 2028 and beyond through expansion of the new AI-related use cases. Underpinning this plan are 4 operational pillars. They build directly on the priorities I laid out in my July shareholder letter, and they will guide our work for the rest of the year and into 2027.

First, we need to protect the current customer base and deepen trusted relationships. Retaining and expanding with existing customers is every bit as important as winning new logos. It's where AI gives us an advantage because deploying AI into an account we already serve costs a fraction of what new entrants pay to win that account. I've spent much of my first 6 months engaging with customers and partners directly, and we're expanding executive outreach across our entire installed base.

Second, we need to win new logos with emerging use cases, concentrating on areas where we have proven differentiation such as knowledge for AI agents and document AI in financial services and healthcare. Third, we need to scale our reach through channel partnerships. We see them as a primary near-term growth lever. Partners are often involved in customer initiatives from the earliest stages of exploration, and they bring early access, deep domain expertise and trusted customer relationships. As a result, they bring us into opportunities in the middle of the funnel rather than the top, which shortens sales cycles and puts our product in front of buyers we couldn't reach efficiently on our own. For example, in August, we named Carahsoft our master government aggregator, opening the public sector to 4 of our products through its reseller network and contract vehicles.

And fourth, expanding margins by reimagining how we operate with AI so that we continue to generate the cash to keep paying down debt.

Now on to the third quarter. Total revenue was $47.5 million, above the midpoint of our guidance range of $45.7 million to $48.7 million. Subscription and support revenue was $45.3 million, also above the midpoint of guidance. Adjusted EBITDA was $12.6 million, essentially at the midpoint of our $11.9 million to $13.4 million range for an adjusted EBITDA margin of 27%, which was a quarter-over-quarter improvement from 26%. We generated positive free cash flow again this quarter, and we continue to pay down debt. We also added 77 new customers in the quarter, including 10 new major customers, and we expanded our relationship with 185 existing customers, 14 of which were major expansions.

Equally, this quarter was also affected by 3 customer churn events. They came from 2 sources. First, some customers under financial pressure cut costs significantly, which led to large reduction in their use of internal applications. The second, as customers shift from legacy use cases to AI-driven use cases, we grow with them where our AI capabilities fit, but we can lose revenue where legacy applications are retired. This is reflected in a more measured fourth quarter outlook Jennifer will walk you through. But even with this impact, we delivered adjusted EBITDA at the midpoint of our guidance range and protecting the base, our first pillar is designed for exactly this situation.

Now let me turn to some highlights from each of our product groupings. In knowledge and contact center management, AI is bringing knowledge management back to the center of the enterprise. We were recently recognized in the Magic Quadrant for Customer Service Knowledge Management Systems published by Gartner in July 2026. The report evaluates vendors in the Customer Service Knowledge Management Systems, or CSKMS market. And according to the report, the CSKMS market is undergoing a structural shift from passive content repositories to active AI-driven reasoning layers powered by machine-readable knowledge. We have an important part to play in that shift. And we see that shift in many of our customer conversations every day.

The use case is moving from equipping human agents to equipping AI agents. In fact, one of the largest enterprises in the world now uses Upland as their verified knowledge source that ground its AI agents so that the answers those AI agents give are accurate, current and approved.

Moving to content lifecycle automation. We're seeing strong results when we combine our technology with partners that bring deep customer relationships and industry expertise. A great example is a major healthcare win where our AI-powered intelligent capture solution automated the intake, classification and routing of complex patient documents that previously required manual review.

By getting critical information into the right workflow more consistently and efficiently, the solution supports better patient safety while automating 94% of the millions of patient documents processed. It's a strong example of how our AI innovation and commitment to the channel can deliver measurable customer outcomes. In vertical solutions, a strong example this quarter was a new 6-figure ARR logo win with a large Canadian police force for our telecom expense management platform.

The Canadian public sector is a core vertical for this product, and the win shows our strategy at work. We lead from established domain strength to help government agencies manage and reduce their telecom spend, an area where we've helped Canadian government customers save millions. We're also seeing momentum with large enterprise customers. In fact, this quarter, we signed a 6-figure ARR expansion with a Big Four professional services firm with our BA Insight platform. Professional services firms are a core market for this product, and the win is another sign of our strategy at work. We start from established domain strength in secure permission-aware search and make the retrieval foundation for our customers' internal AI platform. Their employees get answers drawn from content across multiple systems and every result respects that individuals access rights.

And customers continue to validate our products. We earned 43 badges in G2's Fall 2026 market report that's based on customer reviews. RightAnswers and Panviva, our AI-powered knowledge management solution earned the most badges and BA Insight and Qvidian were also recognized.

Before I hand the call to Jennifer, I want to officially introduce her to our shareholder base. Jennifer joined us as CFO in mid-August, and she brings more than 20 years of finance leadership across software, technology and private equity-backed companies. She has led finance functions through growth, cost discipline and capital structure transformation at companies of every size, so she knows what scale looks like at both ends. Her background and experience will greatly benefit Upland as we move into this next chapter.

I will now turn the call over to Jennifer to further discuss our financial performance and outlook in even more detail. Jennifer?

Jennifer Simon

Thank you, Sean, and good morning, everyone. I am glad to be here. I have been at Upland for about 11 weeks, and I would like to share why I joined and what I've seen so far. Three things stood out. First, this business has a strong balance sheet, produces strong free cash flow and is servicing its debt at an accelerated pace. We have paid down our debt by approximately 6% over the last 12 months through a combination of required payments and additional voluntary prepayments. Second, a clear cost opportunity, which is where Sean's fourth pillar, reimagining how we operate with AI comes in. And third, our durable recurring revenue base.

Subscription and support revenue is 95% of our total revenue, and much of it comes from products that work as systems of record for our customers. I am focused on bringing financial discipline to all 3.

With that, let me walk through our third quarter results. Unless noted otherwise, all comparisons are to the third quarter of 2025. Total revenue was $47.5 million, down $3 million or 6% year-over-year and above the midpoint of our guidance range. Subscription and support revenue was $45.3 million, down 5% and made up of 95% of total revenue. Of the $3 million top line decrease, approximately $0.6 million came from product lines we divested in 2025 and from sunset assets, which are nonstrategic products and contracts we are winding down by design. The remaining $2.4 million came from our core products, $1.8 million in subscription and support revenue and $0.6 million in professional services, both driven by the increased churn in certain core products that Sean described.

Core organic growth was negative 3.9% in the third quarter. Please note, this is also the last quarter we plan to report our core organic growth rates as we designed this metric to show the underlying trend in the business where we were divesting product lines and winding down sunset assets. Our divestitures were completed in 2025 and starting in the fourth quarter, our year-over-year comparisons will no longer include any revenue from divested businesses. Sunset assets are also now a small part of the business at about $1.7 million of revenue this quarter. Gross profit was $36 million for a gross margin of 76% compared to 77% a year ago. Cost of revenue was roughly flat at $11.5 million, while revenue declined. With our core products, lower amortization of intangibles was offset by higher cloud hosting and computing infrastructure costs.

Turning to operating expenses. Total operating expenses, including depreciation and amortization, were $30.7 million, down $2.8 million or 8% from a year ago. Breaking that down further, sales and marketing expense was $9 million, down $0.7 million or 8%, primarily reflecting the disciplined cost management and continued alignment of our resources with the needs of our core product lines. R&D expense was $7.8 million, essentially flat. We are holding our investment in product development steady while using AI to get more out of every dollar. As Sean noted in his letter, our team recently finished an R&D project in about 8 days that would typically take 9 to 12 months.

General and administrative expense was $8.4 million, down $0.4 million or 4%. That reflects $1.4 million lower noncash stock-based compensation, partly offset by higher professional fees. Depreciation and amortization was $5.5 million, down $0.9 million, mainly from lower amortization of intangible assets tied to sunset assets. Taken together, income from operations was $5.3 million, essentially unchanged from a year ago as lower operating expenses offset the impact of $3.0 million less revenue.

Adjusted EBITDA was $12.6 million, essentially at the midpoint of our guidance range for a margin of 27% compared to $16 million or 32% a year ago. The year-over-year decline primarily reflects the impact of lower revenue. Sequentially, our adjusted EBITDA margin improved from 26% in the second quarter of 2026 to 27% in the third quarter.

Below operating income, net interest expense was $5.1 million, up $0.9 million from a year ago. That increase is entirely noncash. It reflects $1.3 million of higher noncash interest expense tied to the interest rate swaps we exited in 2025. Cash interest expense actually declined by $0.4 million because of our lower debt balance. GAAP net loss was $0.5 million compared to a net loss of $1.1 million a year ago. After preferred stock dividends, net loss attributable to common shareholders was $2.0 million or $0.67 per share. Non-GAAP net income was $6.4 million compared to $10.8 million a year ago.

Turning to cash flow and the balance sheet. Operating cash flow was $2.8 million and free cash flow was $2.7 million compared to $6.9 million and $6.7 million a year ago. Third quarter cash flow was lower year-over-year, primarily reflecting the $5.4 million benefit from the sale of an interest rate swap in Q3 2025. For the first 9 months of the year, operating cash flow was $13.7 million and free cash flow was $13.5 million. We continue to put that cash to work, paying down debt. In the third quarter, we repaid $4.2 million of term loan principal. That included $1.5 million of scheduled amortization and $2.7 million of additional payments. Year-to-date, we have repaid $13.1 million, and we ended the quarter with $225.4 million outstanding on our term loan, down from $238.5 million at year-end.

Beginning this quarter, our scheduled amortization steps down from 2.5% to 1.75% per year of the original principal, which leaves more of our free cash flow available for voluntary paydown. Our net leverage ratio was 3.7x at quarter end, and we remain in compliance with all of our covenants. We ended the quarter with $28.9 million of unrestricted cash and cash equivalents and an undrawn $30 million revolving credit facility, providing us with solid liquidity to support the business.

Total deferred revenue was $69.7 million at quarter end compared to $71.6 million at the end of the second quarter. Remaining performance obligations were $164.4 million, and we expect to recognize about 65% of that over the next 12 months. During the quarter, we repurchased approximately 98,000 shares at an average price of $3.59 for a total of $0.35 million in cash deployed. $9.65 million remained available for share repurchases under our existing stock repurchase plan as of September 30. Debt reduction remains our primary capital allocation priority, and we will continue to treat share repurchases as opportunistic.

Now I would also like to address our Nasdaq listing. As previously disclosed, in July 2026, we received a notice from Nasdaq that we no longer meet the $15 million minimum market value of publicly held shares requirement for continued listing on the Nasdaq Global Market, and we have until January 27, 2027, to regain compliance. I want to be clear about how we view this. As a smaller public company with a significant sponsor investment from HGGC, we have long recognized that our profile in the public markets looks different from many of our peers. We remain a sponsor-backed company with a healthy balance sheet, and we do not expect any change in our listing status to affect our operations or our stakeholder relationships.

Now to our outlook. For the fourth quarter, we expect total revenue of $44.7 million to $47.7 million, including subscription and support revenue of $42.3 million to $44.8 million. That is a decline of 6% at the midpoint compared to the fourth quarter of 2025. We expect adjusted EBITDA of $12.5 million to $14 million for a margin of 29% at the midpoint compared to 31% a year ago. For the full year 2026, we now expect total revenue of $190.1 million to $193.1 million, including subscription and support revenue of $179.8 million to $182.3 million. We expect adjusted EBITDA of $50.5 million to $52 million for a margin of about 27% at the midpoint, consistent with 2025.

Overall, compared to our prior outlook, we have narrowed both ranges to account for the revenue impact of the churn events without giving up profitability. That is the margin discipline we intend to show you every quarter.

Looking ahead to 2027, we will provide formal guidance when we report fourth quarter and full-year 2026 results in March. Directionally, here is how we are thinking about the year. We expect the business to remain solidly free cash flow positive. On revenue, our priority is stabilization by improving retention in the base and ramping our channel partnerships. We expect continued margin expansion as the cost actions underway take full effect, and we are targeting an adjusted EBITDA margin of approximately 35% in the first half of 2028, and we expect to keep paying down debt every quarter.

Before I hand it back, I want to say that I'm genuinely excited to be here. Upland has a durable recurring revenue base, healthy margin profile, strong cash generation and a clear strategic plan to improve all three areas. I'm looking forward to getting to know many of you in the months ahead.

With that, I will turn the call back to Sean.

Sean Nathaniel

Thank you, Jennifer. I'm very excited about where Upland is headed. We have a mission-critical set of products, more than 1,100 enterprise customers who trust us with their most important data and a market that is moving towards exactly what we do. Upland is the intelligence layer. We unify and contextualize enterprise knowledge, content and data and turn it into AI-powered outcomes for every human and every agent. The business generates free cash flow and services its debt responsibility, and we're building the next chapter.

With that, I'd like to pass the call back to the operator to begin the live Q&A portion of the call. Operator, please open the line for questions.

Operator

[Operator Instructions] Our first question comes from the line of Scott Berg with Needham.

分析師問答

Scott Berg

Lots to digest here. Obviously, Sean, it's your first kind of real public comments outside of the shareholder letter here. But let's take your fiscal '28 growth profile and -- or at least your goals there to get to growth in fiscal '28. How -- what does growth look like in your version of Upland here over the next 2 years? We certainly know what the growth profile on an organic basis has looked like historically. We've covered obviously, the stock since the IPO. But what's different or similar to how you start viewing '28 and beyond?

Sean Nathaniel

Scott, thanks for that question. It's great to be back at Upland and finish my first full quarter as CEO. Look, as we look at growth looking into 2028, we see our customer base going through a transition from legacy use cases and workflows into AI-driven use cases and workflows. And we see that the growth will come through those renewed use cases where we have a role to play in how enterprise knowledge content and data is used to feed those human and AI workflows. Specific to growth numbers, we're not publicizing numbers yet, but we expect to, as we -- the plans for 2027 materialize, you'll see more directionally where we're headed from a growth perspective.

Scott Berg

Understood. And then Jennifer, I realize you've been there 11 weeks. So this question might be a little bit heavy. But on your adjusted EBITDA targets for '28 of 35%, the business has generated mid-30s adjusted EBITDA margins historically. One of the questions I get frequently from different shareholders over the last year or 2 is, as the restructuring completes, why can't you get there, kind of, quicker and faster since it's been there. Help us understand what's required in that time frame over the next, what's roughly 15, 18 months to get to that target? And why can't we see those margin targets a little bit ahead of that schedule?

Jennifer Simon

Scott, any time you do a cost optimization, you have to be really thoughtful about how you do it. The last thing that you want to do is take cost out too quickly and jeopardize the business. Sean really went through our focus. Our focus right now is on our customers, gaining momentum with AI-enabled niche opportunities in the market, expanding through the channel and then really looking how we can wrap our cost structure around that to optimize it. So right now, we're working through FY '27 plans. You'll see more what that journey looks like when we release guidance in March.

Operator

Thank you. And at this time, we have no further questions. That concludes our conference call. Thank you all for joining. You may now disconnect. Everyone, have a great day.