Yes—Salesforce bought Informatica. Salesforce announced the deal on May 27, 2025, agreeing to pay $25 in cash per share. The acquisition closed on November 18, 2025, making Informatica a wholly owned Salesforce subsidiary and ending its public trading on the New York Stock Exchange.
The transaction was announced at approximately $8 billion in equity value, net of Salesforce’s existing investment in Informatica. Salesforce later reported approximately $9.636 billion in acquisition-date fair-value consideration, a different accounting measure that included about $9.538 billion in cash.
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What Salesforce agreed to buy
The merger agreement was signed through Salesforce subsidiary Phoenix I Merger Sub. Holders of Informatica Class A and Class B-1 common stock were entitled to receive $25 per share in cash, subject to the merger terms.
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Salesforce described the announced transaction as approximately $8 billion in equity value, net of its existing investment in Informatica. That qualification matters: the headline figure was not the same as enterprise value, total cash paid, or the amount later recorded under acquisition accounting.
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The deal required customary closing conditions and regulatory clearances. Salesforce initially expected it to close in the early part of fiscal 2027, which began on February 1, 2026. It closed earlier, on November 18, 2025. Salesforce’s announcement and Informatica’s SEC filing contain the transaction terms.
Did Salesforce actually acquire Informatica?
Yes. On November 18, 2025, Salesforce announced that it had completed the acquisition. Informatica became a wholly owned Salesforce subsidiary, and its shares stopped trading on the NYSE. This is no longer a proposed acquisition or an agreement awaiting completion.
The timeline is therefore:
- May 27, 2025: Salesforce and Informatica announced the definitive transaction.
- November 18, 2025: The merger closed.
- After closing: Informatica ceased to be an independent publicly traded company.
See Salesforce’s closing announcement and Informatica’s closing Form 8-K.
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Why Salesforce wanted Informatica
Salesforce presented the acquisition as a way to strengthen the data foundation beneath its artificial-intelligence products, including Agentforce and Salesforce Data Cloud, now referred to in Salesforce materials as Data 360.
Informatica adds capabilities in:
- Data integration across applications, databases, clouds, and legacy systems
- Data quality and duplicate-record management
- Data cataloging, metadata, and lineage
- Data governance, privacy, and security controls
- Master Data Management, or MDM
The strategic argument is straightforward: enterprise AI agents need reliable, current, authorized business context. Integration connects systems; quality controls reduce inconsistent data; MDM helps establish trusted records; and governance, privacy, metadata, and lineage make data easier to control and audit.
That is Salesforce’s strategic rationale—not proof that the acquisition has already improved AI accuracy, eliminated hallucinations, increased customer adoption, or produced a particular financial return. Those outcomes require separate post-close evidence.
What Informatica adds beyond Salesforce’s existing products
Salesforce already had CRM applications and its own data products. Informatica’s distinction is its focus on the broader enterprise data estate: multiple clouds, databases, applications, on-premises systems, and non-Salesforce platforms.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchIn practical terms, Informatica could help an organization:
- Discover where important data resides.
- Connect and move data between systems.
- Identify stale, incomplete, duplicated, or inconsistent records.
- Resolve identities and maintain master records.
- Track where data came from and how it changed.
- Apply privacy, access, and governance policies.
- Provide more consistent context to analytics and AI systems.
This is particularly relevant to large or regulated organizations. However, Informatica’s value has also depended on working across heterogeneous environments. Customers may therefore watch closely to see whether Salesforce preserves that cross-platform neutrality while integrating the business into its own platform.
How much did the deal really cost?
There are several valid numbers, each measuring something different.
| Figure | What it means |
|---|---|
| $25 per share | The cash consideration for eligible Informatica common shares. |
| Approximately $8 billion | The announced equity-value headline, calculated net of Salesforce’s existing Informatica investment. |
| Approximately $9.636 billion | Salesforce’s later reported acquisition-date fair value of consideration under accounting rules. |
| Approximately $9.538 billion | The cash component included in Salesforce’s reported acquisition-date consideration. |
The $8 billion announcement figure and the $9.636 billion accounting figure are not necessarily contradictory. The first described the transaction’s headline equity value after taking Salesforce’s existing investment into account. The second reflected the consideration recognized at closing under acquisition accounting, including other items such as a fair-value adjustment for a pre-existing relationship and assumed equity awards. Salesforce disclosed these details in its fiscal 2026 Form 10-K.
How the acquisition was financed
Salesforce did not describe the transaction simply as being funded from cash already on its balance sheet. Its closing filing disclosed two credit facilities:
- $4 billion under a 364-day credit agreement
- $2 billion under a three-year credit agreement
The borrowings were used for cash consideration, repayment of Informatica debt, and related fees and expenses. In total, Salesforce disclosed $6 billion of transaction-related borrowing. Salesforce’s closing Form 8-K provides the financing details.
What Informatica shareholders received
The $25 cash offer represented approximately a 31% premium to Informatica’s 30-calendar-day volume-weighted average closing price and approximately a 38% premium to its 90-calendar-day volume-weighted average closing price. Those premiums were calculated as of May 22, 2025, before media reports about a possible transaction.
The percentages should not be read as a premium to an unspecified “previous price.” They were calculated against defined volume-weighted averages on a specific reference date. The merger proxy describes the calculation and the negotiations.
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Salesforce has previously expanded through major acquisitions including MuleSoft, Tableau, and Slack. Informatica represented another move beyond traditional CRM applications—this time toward the enterprise data-management layer that supports analytics and AI.
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The companies had reportedly discussed a combination before the 2025 agreement. Informatica’s merger materials describe prior discussions and diligence, but those talks should not be confused with a completed 2024 acquisition.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the acquisition means for customers
The most important customer questions are practical rather than headline-driven:
- Will Informatica products remain multi-cloud and multi-platform?
- How much overlap will exist between Informatica capabilities and Salesforce Data 360?
- Will licensing, packaging, or renewal terms change?
- Will existing integrations with non-Salesforce systems remain fully supported?
- How will on-premises deployments and data-residency requirements be handled?
- What support and product-road-map commitments will apply to long-term MDM workloads?
At the time of the announcement, Salesforce said the companies would remain separate and independent until closing and directed customers to continue contacting Informatica about Informatica products. The announcement did not provide a complete post-merger product, pricing, or migration roadmap. Customers should rely on written contract terms and current Salesforce or Informatica documentation rather than assume that the acquisition automatically requires a move to Salesforce-native products.
Before changing architecture, an enterprise customer should request written clarification on entitlements, renewals, support, data residency, connectors, implementation obligations, and compatibility with non-Salesforce systems. A proof of concept should use real duplicate, stale, restricted, and cross-system data—not only a clean demonstration dataset.
Potential benefits and risks
Potential benefits
- A broader enterprise data layer supporting Salesforce applications and AI agents
- Better access to data outside Salesforce environments
- Stronger governance, privacy, lineage, and quality capabilities
- More relevance for regulated industries such as financial services, healthcare, government, and life sciences
- Additional cross-selling opportunities for Salesforce in large enterprises
Key risks
- Integration complexity: Data-management platforms can take years to integrate into complex environments.
- Product overlap: Salesforce Data 360 and Informatica capabilities may overlap in some use cases.
- Loss of vendor neutrality: Customers may question whether Informatica remains equally attractive for non-Salesforce environments.
- Pricing uncertainty: Bundling or revised licensing could change total ownership costs.
- Execution risk: Better data foundations do not guarantee successful AI deployments.
- Financial return: Salesforce must generate enough operational and commercial benefit to justify the purchase price and transaction-related debt.
Bottom line
Salesforce’s Informatica acquisition was announced for approximately $8 billion and completed on November 18, 2025. It was a strategic bet on the data layer beneath enterprise AI: integration, quality, governance, privacy, metadata, and master-data management.
The deal’s success will depend less on the announcement headline than on execution. Salesforce must integrate Informatica effectively without weakening its cross-platform capabilities, while customers must determine whether the combined offering improves their own data architecture, costs, governance, and AI readiness.
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