Open Lending Corp当前公司基本面数据相对非常健康,增长潜力较大。当前估值合理,在专业与商业服务行业排名66/161位。机构持股占比非常高,近一月多位分析师给出公司评级为持有。最高目标价2.40。中期看,股价处于上升通道。近一个月,市场表现很强,技术面和基本面综合得分较高,很强的走势得到基本面和技术面的印证。目前股价在压力位和支撑位之间,可以做区间波段操作。
Open Lending Corp评分
相关信息
行业排名
66 / 161
全市场排名
177 / 4565
所属行业
专业与商业服务
压力支撑
由于公司未披露,未能获取相关数据
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上期评分
公司舆情
过去24小时
热度
过冷
过热
中性
Open Lending Corp亮点
亮点风险
Open Lending Corporation provides loan analytics, risk-based pricing, risk modeling and default insurance to auto lenders throughout the United States, which enables each lending institution to book near-prime and non-prime automotive loans, coupled with real-time underwriting of loan default insurance, out of its existing business flow. The Company also operates as a third-party administrator that adjudicates insurance claims and premium adjustments on automotive loans. Its flagship product, Lenders Protection platform (LPP), is a cloud-based automotive lending enablement platform. The platform uses risk-based pricing models that enable automotive lenders to assess the credit risk of a potential borrower using data-driven analysis. The Company's proprietary risk models project loan performance, including expected losses and prepayments, in arriving at the optimal contract interest rate.
Open Lending Corporation provides loan analytics, risk-based pricing, risk modeling and default insurance to auto lenders throughout the United States, which enables each lending institution to book near-prime and non-prime automotive loans, coupled with real-time underwriting of loan default insurance, out of its existing business flow. The Company also operates as a third-party administrator that adjudicates insurance claims and premium adjustments on automotive loans. Its flagship product, Lenders Protection platform (LPP), is a cloud-based automotive lending enablement platform. The platform uses risk-based pricing models that enable automotive lenders to assess the credit risk of a potential borrower using data-driven analysis. The Company's proprietary risk models project loan performance, including expected losses and prepayments, in arriving at the optimal contract interest rate.