--- title: "Is it time to bottom fish? Oppenheimer upgrades Oracle rating: A buying opportunity after the big drop" description: "Oracle has fallen over 25% year-to-date, and Oppenheimer has upgraded its rating from \"Market Perform\" to \"Outperform,\" setting a target price of $185. Analysts point out that the price-to-earnings ra" type: "news" locale: "en" url: "https://longbridge.com/en/news/276900810.md" published_at: "2026-02-25T14:17:13.000Z" --- # Is it time to bottom fish? Oppenheimer upgrades Oracle rating: A buying opportunity after the big drop > Oracle has fallen over 25% year-to-date, and Oppenheimer has upgraded its rating from "Market Perform" to "Outperform," setting a target price of $185. Analysts point out that the price-to-earnings ratio has dropped by more than half since September, making the risk-reward ratio extremely favorable. Bernstein's stress tests show that even if the AI business were to go to zero, the core business would still support a valuation of $137, providing an 85% margin of safety. Market concerns about the $248 billion lease liabilities and hardware risks are overstated, and pessimistic expectations have been overly priced in Oracle's stock price is under pressure, having fallen over 25% year-to-date, but Wall Street investment bank Oppenheimer believes this actually provides an entry opportunity for investors. The firm upgraded Oracle's rating from "market perform" to "outperform," setting a target price of $185, corresponding to a 27% upside. Oppenheimer analyst Brian Schwartz stated, **Oracle's price-to-earnings ratio has dropped by more than half since September last year, and the current risk-reward ratio is extremely favorable, making it a highly attractive buying point.** Schwartz described Oracle as "a company with strong compound earnings growth per share," expecting earnings per share to potentially grow two to three times by fiscal year 2030. He pointed out that as large-scale financing plans progress, **the counterparty risk related to OpenAI is easing, while the cloud infrastructure business is relatively less affected by AI disruption.** He believes that **this round of selling has not changed Oracle's fundamental logic, but rather created a more attractive entry price. Compared to other software companies, its downside risk is lower.** Meanwhile, **Bernstein's extreme scenario stress tests show that even if the AI business were to completely collapse, Oracle's downside potential would be only about 15%.** In the current market context of ongoing concerns about customer concentration and capital expenditure risks, the stress test results provide investors with a clear valuation anchor. ## $248 billion lease liabilities are not an "unbearable burden" Bernstein further dissected the market's concerns regarding Oracle's massive data center lease contracts. The scenario investors fear most is that **if customers default, Oracle would be forced to bear up to $248 billion in idle costs. However, the research report indicates that this risk is significantly overestimated.** First, these lease contracts have terms of 15 to 19 years, with capacity coming online in phases until fiscal year 2030, and the annual maximum risk exposure is actually only $13 to $16.5 billion, peaking only by 2030. Second, **as long as the world does not fall into an "AI winter," data center demand will remain high, and Oracle is fully capable of utilizing or subleasing the idle space.** More importantly, even excluding generative AI, the global IaaS/PaaS market has a potential scale of $12 trillion to $14 trillion, and the data center capacity consumed by traditional enterprise cloud migration is sufficient to absorb this leased space. In other words, Oracle's long-term contract structure has ample cushioning, and the market's panic over its capital commitments lacks substantial support. ## Hardware risks are controllable and will not be "trapped" by GPU inventory In response to market concerns about hardware capital expenditure risks, Bernstein pointed out that its actual exposure is quite limited. The procurement cycle for servers and GPUs typically occurs 3 to 6 months before capacity goes live; if customers cancel contracts, Oracle can flexibly cancel or postpone orders before delivery without incurring significant penalties Even though the hardware has been delivered, most computing assets such as storage, networking, and memory devices remain highly versatile and can be seamlessly repurposed for traditional SaaS and OCI businesses. The research report further estimates that for every $1 of annual AI revenue, there corresponds about $2 to $2.5 of computing assets, with an asset lifespan of 6 years. This means that even in the event of customer defaults, at most only 1 to 2 years of computing expenditures are at risk. Overall, **the risk of capital expenditure in hardware being stranded is significantly overestimated.** ## Strong Fundamentals of Core Business Bernstein further separates the AI business in its latest model, clearly outlining the independent value of Oracle's core business. Even if AI data center-related revenues are completely excluded, the company's total revenue from traditional databases, SaaS, and OCI businesses can still reach $101 billion by the fiscal year 2030. More critically, after bearing the interest costs of the debt raised for AI infrastructure (including the recent $25 billion financing), its earnings per share can still achieve $9.0. Referring to the 27.3 times price-to-earnings ratio level of software peers like Microsoft, SAP, and Salesforce, this earnings expectation corresponds to a valuation of $137 per share. In other words, even if the AI business were to completely zero out, Oracle could still support about 85% of the current stock price with its core business alone, highlighting the robustness of its cash generation capability. Bernstein believes that Oracle's current stock price has overly priced in pessimistic expectations, and the risk-reward ratio is entering a highly attractive range. With the recent $25 billion debt and an equivalent amount of equity financing coming to fruition, the funding bottleneck for data center construction has been substantially alleviated. The report emphasizes that as long as the world does not fall into an extreme scenario of an "AI winter," the current valuation level provides investors with ample safety margin and asymmetric profit potential ### Related Stocks - [ORCL.US - Oracle](https://longbridge.com/en/quote/ORCL.US.md) - [ORCX.US - Defiance Daily Target 2X Long ORCL ETF](https://longbridge.com/en/quote/ORCX.US.md) ## Related News & Research | Title | Description | URL | |-------|-------------|-----| | 白宫发布会一年后仍未实质启动,OpenAI 的 5000 亿美元” 星际之门” 计划陷入僵局 | 据知情人士透露,这个由 OpenAI、Oracle 和软银三方组建的合资企业至今未配备人员,也没有开发任何 OpenAI 的数据中心。项目宣布后的数周内,三方在领导权、职责分工和合作结构等关键问题上陷入分歧,导致” 星际之门” 计划迟迟无法 | [Link](https://longbridge.com/en/news/276587846.md) | | 巨大的 “智能体蓝海市场”:软件编程占一半,医疗、金融、法律等 “寥寥无几” | 一项关于 AI 智能体应用的研究显示,软件工程占据市场的 49.7%,而医疗、法律、金融等领域的市场份额均不足 5%。这表明创业者应关注未被开发的蓝海市场。研究还指出,AI 模型的能力远超用户信任,存在巨大的应用潜力。Y Combinato | [Link](https://longbridge.com/en/news/276575566.md) | | 摩根大通 CEO:美国信贷环境重现 2008 年征兆,AI 相关软件行业面临违约潮风险 | 摩根大通 CEO Dimon 警告,当前高资产价格与盲目逐利让他联想到 2008 年金融危机前,信贷周期逆转将引发意外违约潮,AI 颠覆的软件行业可能成为重灾区。他批评部分机构为追求利润 “做蠢事” 加剧风险,同时回避接班人问题。 | [Link](https://longbridge.com/en/news/276705045.md) | | 期权热点|周二 ORCL 涨 3%,部分看涨期权飙升 400% | 美东时间 02 月 24 日,甲骨文期权总成交 257172 张,看涨期权占比 44%,看跌期权占比 55%。 | [Link](https://longbridge.com/en/news/276829371.md) | | 无视海外 “AI 恐慌”,中国市场狂炒 AI 赢家 | 同一个 AI,截然相反的命运。美国市场陷入” 恐慌性抛售”,中国投资者疯狂追捧:智谱 AI 一度暴涨 524%,MiniMax 一度飙升 488%。分歧本质是美国投资者焦虑于丰厚利润池面临竞争威胁,而中国关注的仍是市场渗透。 | [Link](https://longbridge.com/en/news/276531940.md) | --- > **Disclaimer**: This article is for reference only and does not constitute any investment advice.