Salesforce Inc. (CRM) stock price, news and key stats
Price
Last trade as of Sep 16, 2026. Delayed data; not a live quote.
- Previous close
- $255.53
- Open
- $252.23
- Day range
- $249.66 – $256.27
- Volume
- 574K
- 52-week range
- $146.32 – $269.11
- Market cap
- $206B
- Forward P/E
- 15.6
- Dividend yield
- 69.00%
- Beta
- 1.20
- Avg. volume
- 15.0M
- Analyst target
- $275.60
- Next earnings
- Dec 2, 2026
About Salesforce Inc.
Salesforce, Inc. is a global leader in customer relationship management (CRM) technology, providing a unified platform that integrates sales, service, marketing, and data management. Founded in 1999, Salesforce offers a range of products and services, including the AI-powered Agentforce 360 Platform, which enhances productivity and operational efficiency across various business functions. The company serves a diverse clientele, including businesses of all sizes worldwide, primarily through a subscription-based model.
Latest CRM news
- OpenAI boss says world 'right to be afraid' but should trust AI firmsBBC Business · Sep 16, 2026
Nvidia CEO Jensen Huang has stated that the development of artificial intelligence (AI) does not necessitate new regulatory laws, despite rising safety concerns from various industry leaders. Speaking at Salesforce's Dreamforce conference, Huang emphasized that the responsibility for determining the release of new AI models should lie with the heads of AI firms rather than regulatory bodies. His comments come in the wake of calls from other prominent figures in the tech industry, including Anthropic's Dario Amodei, who have advocated for a more cautious approach to AI development due to potential societal risks. Huang's stance reflects a broader divide within the tech community regarding the pace of AI innovation. While some executives argue for a slowdown to address ethical and safety issues, Huang maintains that the technology's benefits outweigh its risks. This perspective aligns with Nvidia's position as a leading AI hardware provider, suggesting that the company is poised to continue capitalizing on the rapid advancements in AI technology. Market implications of this debate could be significant, as regulatory uncertainty may influence investment decisions and the strategic direction of AI companies. As discussions around AI safety and ethics evolve, stakeholders will need to navigate the balance between innovation and responsibility.
- International Expansion Far Outweighs M&A as a Legal and Compliance Execution Burden, CSC Research FindsIPO & M&A · Sep 16, 2026
A recent study by CSC has revealed that companies pursuing international expansion face a more significant legal and compliance burden than those engaging in mergers and acquisitions (M&A). The research highlights that the complexities associated with entering new markets—such as navigating varying regulatory environments and addressing data gaps—often lead to delays and increased rework. This finding suggests that businesses may need to allocate more resources to compliance when expanding globally, potentially impacting their overall growth strategies. The implications for the market are substantial, as companies may reconsider their expansion plans or seek to streamline their compliance processes. This shift could lead to a greater emphasis on investing in technology solutions that enhance data management and regulatory adherence. Additionally, firms may prioritize strategic partnerships or local expertise to mitigate the risks associated with international operations. As businesses weigh the costs of expansion against the burdens of compliance, the landscape for both international growth and M&A activity may evolve, influencing investor sentiment and market dynamics in the coming quarters.
- Salesforce CEO Marc Benioff joins growing chorus of tech leaders warning about AI risksCNBC Tech · Sep 15, 2026
Salesforce CEO Marc Benioff has joined a growing number of tech leaders in expressing concerns about the potential risks associated with artificial intelligence (AI). During the unveiling of Salesforce's new AI interface, AIforce, Benioff emphasized the importance of responsible AI development as the industry continues to produce increasingly powerful models. His comments come at a time when the rapid advancement of generative AI technologies poses significant challenges and opportunities for companies like Salesforce, which are integrating these innovations into their business models. The launch of AIforce, which includes an extension of Salesforce's collaboration with Anthropic's Claude AI model, reflects the company's commitment to harnessing AI's capabilities while navigating the associated risks. As Benioff prepares to deliver the keynote address at the upcoming Six Five Summit: AI Unleashed, he is likely to underscore Salesforce's strategic positioning within the evolving AI landscape. However, the pressure is mounting as generative AI threatens to disrupt traditional business models, prompting leaders in the tech sector to advocate for a balanced approach that prioritizes ethical considerations alongside technological advancement. Market implications of these developments are significant, as investor sentiment may be influenced by the ongoing discourse around AI safety and regulation. Companies that proactively address these concerns could enhance their reputations and mitigate potential risks, while those that fail to do so may face backlash from consumers and regulators alike. As the conversation around AI continues to evolve, Salesforce's ability to navigate these challenges will be crucial in maintaining its competitive edge in the market.
- Nvidia's Huang rips Anthropic's proposal for AI safety antitrust waiver: 'Completely unnecessary'CNBC Tech · Sep 15, 2026
Nvidia CEO Jensen Huang has publicly criticized the proposal by AI company Anthropic to seek antitrust exemptions that would allow firms to collaborate on slowing the development of advanced AI models. Huang described the request as "completely unnecessary," emphasizing that the competitive landscape of AI innovation should not be hindered by regulatory waivers. This stance reflects Nvidia's commitment to fostering rapid advancements in AI technology, which it views as essential for maintaining its leadership in the sector. The remarks come amid Nvidia's ongoing efforts to enhance its AI offerings, including the recent launch of Koa, a reasoning model designed for sales applications. This development underscores Nvidia's strategy to integrate AI capabilities across various industries, further solidifying its market position. The partnership between Salesforce and Anthropic, known as Claudeforce, aims to leverage AI for improved customer engagement, indicating that competition in the AI space is intensifying. Huang's rejection of the antitrust waiver proposal may have significant implications for the broader AI market. By advocating for unimpeded competition, Nvidia is signaling to investors and stakeholders that it believes innovation should thrive without regulatory constraints. This perspective could influence how other tech companies approach AI development and collaboration, potentially leading to a more fragmented landscape as firms prioritize their competitive advantages.
- Apollo Named Flagship Data Partner for Hunter, Salesforce's New Outbound Sales AgentPrivate Equity · Sep 15, 2026
Apollo has been named a flagship data partner for Salesforce's newly launched outbound sales agent, Hunter. This partnership positions Apollo at the forefront of Salesforce's efforts to enhance sales efficiency through advanced AI-driven solutions. Hunter aims to streamline the outbound sales process by leveraging data analytics and machine learning to identify and engage potential customers more effectively. The collaboration is expected to have significant implications for both companies. For Apollo, this partnership not only elevates its profile within the competitive AI landscape but also provides access to Salesforce's extensive customer base, potentially driving new business opportunities. For Salesforce, integrating Apollo's capabilities into Hunter could enhance the platform's value proposition, making it more attractive to organizations looking to optimize their sales strategies in an increasingly data-driven market. As businesses continue to seek innovative solutions to boost sales performance, the success of Hunter could influence broader market trends, particularly in the realm of AI applications in sales. Investors and stakeholders will be closely monitoring the performance of this partnership, as it may set benchmarks for future collaborations between AI firms and established software providers.
- Santoli: The youthful phase of AI is over. What it means for investorsCNBC Top News · Sep 15, 2026
The narrative surrounding artificial intelligence (AI) has shifted significantly, as noted by CNBC's Santoli, marking the end of its youthful phase. Investors are now confronted with a landscape where the initial excitement surrounding AI technologies is tempered by growing public skepticism and concerns over long-term viability. This transition suggests that the market may be entering a more cautious phase regarding AI investments, with a focus on the risks associated with overhyped expectations. As projections of order backlogs extend beyond the immediate future, companies heavily invested in AI may face increased scrutiny. This could lead to volatility in stock prices for tech firms that have relied on AI as a key growth driver. Investors are advised to reassess their portfolios, considering not only the potential for innovation but also the challenges posed by public sentiment and regulatory scrutiny. The evolving narrative around AI underscores the importance of a balanced approach, weighing both opportunities and risks in a sector that has become a focal point for market speculation.
- Sector Snapshot: AI Takes A Growing Share Of Sales And Marketing Startup FundingCrunchbase News · Sep 15, 2026
Startups in the sales, marketing, and customer management sectors have collectively raised $7.5 billion in funding this year, with artificial intelligence (AI) increasingly becoming a focal point for investors. According to Crunchbase data, the integration of AI technologies into these startups is driving significant interest, as businesses seek innovative solutions to enhance customer engagement and streamline operations. The surge in funding reflects a broader trend where AI is not just a supplementary tool but a core component of many new business models. Major funding rounds have been observed across various applications, including advertising, customer data analytics, and automated marketing solutions. This shift indicates a growing confidence among investors that AI can deliver substantial returns by improving efficiency and effectiveness in sales and marketing strategies. Market implications are significant, as companies that leverage AI capabilities may gain a competitive edge in an increasingly crowded marketplace. As startups continue to innovate and attract capital, established players in the sales and marketing sectors may need to adapt quickly or risk losing market share. The ongoing investment in AI-driven solutions suggests that the landscape of customer engagement and sales strategies is poised for transformative changes in the near future.
- How Should the Federal Reserve Deal With the AI Bubble?Central Banks · Sep 15, 2026
As the Federal Reserve grapples with the implications of the burgeoning artificial intelligence (AI) sector, concerns are mounting over the potential for an AI bubble. With substantial investments pouring into AI technologies, the Fed faces the challenge of balancing economic growth with the risks of asset inflation. The rapid rise in AI-related stocks and startups has drawn parallels to previous market bubbles, prompting discussions on how monetary policy should adapt to this evolving landscape. Economists suggest that the Fed may need to adopt a cautious approach, monitoring AI's impact on productivity and inflation while remaining vigilant against speculative excesses. If AI continues to drive significant productivity gains, it could bolster economic growth and justify a more accommodative monetary policy. However, if the sector is found to be overvalued, the Fed may need to consider tightening measures to prevent a potential market correction that could destabilize the broader economy. Market participants are closely watching the Fed's signals, as any indication of a shift in policy could lead to increased volatility in tech stocks and venture capital investments. The central bank's decisions will likely hinge on ongoing assessments of AI's long-term economic contributions versus short-term speculative trends. As the situation unfolds, the Fed's approach to the AI bubble will be critical in shaping both the tech sector's trajectory and the overall health of the economy.
- Why a decade of doomsday warnings failed to slow the AI raceGuardian Business · Sep 15, 2026
Despite a decade of escalating doomsday warnings from prominent figures like Stephen Hawking and recent high-profile resignations, the race to develop artificial intelligence (AI) continues unabated. Concerns about the potential existential risks posed by AI have not deterred investment or innovation in the sector. Instead, the urgency to harness AI's capabilities for economic growth and competitive advantage has intensified, with companies and governments pouring resources into research and development. The implications for the market are significant. As firms prioritize AI advancements, the technology sector is witnessing an influx of capital, driving up valuations and fostering a competitive landscape. This relentless pursuit is evident in the soaring stock prices of AI-related companies, which have outperformed broader market indices. Moreover, the potential for AI to disrupt various industries—from healthcare to finance—has led to a reevaluation of traditional business models, prompting organizations to adapt or risk obsolescence. While ethical considerations and regulatory frameworks are increasingly being discussed, the momentum behind AI development shows little sign of slowing. Investors remain optimistic, betting that the benefits of AI will outweigh the risks, a sentiment that is likely to shape the trajectory of the technology landscape for years to come. As the dialogue around AI safety continues, the market's focus remains firmly on innovation and the transformative potential of these technologies.
- AI market outlook: two fears, two very different verdictsMarket Outlook · Sep 14, 2026
The artificial intelligence (AI) market is currently navigating a complex landscape characterized by contrasting fears and divergent forecasts. On one hand, concerns about regulatory scrutiny and ethical implications are mounting, particularly as governments worldwide grapple with the rapid integration of AI technologies into various sectors. This apprehension has led to calls for stricter oversight, which could potentially stifle innovation and slow down the pace of AI adoption. Analysts warn that excessive regulation might hinder the competitive edge of companies that are heavily investing in AI research and development. Conversely, a more optimistic outlook emerges from the robust growth projections for the AI sector, driven by increasing demand for automation and enhanced data analytics capabilities across industries. Major tech firms are doubling down on AI investments, with expectations that advancements in machine learning and natural language processing will unlock new revenue streams and efficiencies. Market analysts predict that the global AI market could reach trillions of dollars in value over the next decade, suggesting that while regulatory challenges exist, the underlying demand for AI solutions remains strong. The divergence in sentiment reflects a broader uncertainty in the market, where investors are weighing the potential for significant returns against the risks posed by regulatory actions. As companies continue to innovate and adapt, the ability to navigate these fears will be crucial in shaping the future trajectory of the AI market. Stakeholders are advised to monitor developments closely, as the balance between fostering innovation and ensuring responsible use of AI will ultimately dictate market dynamics in the coming years.
Earnings history
| Quarter | Reported | EPS actual | EPS estimate | Surprise |
|---|---|---|---|---|
| Q1 2027 | Jan 31, 2027 | — | 3.55 | — |
| Q4 2026 | Dec 2, 2026 | — | 3.44 | — |
| Q3 2026 | Jul 31, 2026 | 5.90 | 3.27 | +80.36% |
| Q2 2026 | Apr 30, 2026 | 3.88 | 3.13 | +24.07% |
| Q1 2026 | Jan 31, 2026 | 3.81 | 3.05 | +24.85% |
| Q4 2025 | Oct 31, 2025 | 3.25 | 2.86 | +13.57% |
| Q3 2025 | Jul 31, 2025 | 2.91 | 2.78 | +4.70% |
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