Finvest
INFA Enterprise software · Acquired · Data cloud · AI software · Thesis updated June 14, 2026

INFA is closed after Salesforce deal

01 Running thesis

A closed public stock story

The public INFA thesis is closed. Informatica said in its September 2025 Form 10-Q that the Salesforce merger was completed on November 18, 2025. As a result, Informatica stopped being a publicly traded company, and its common stock is no longer listed on the New York Stock Exchange.

Before the acquisition, the bull case was simple: Informatica had a large base of data management customers, and more of them were moving to cloud subscriptions. Cloud subscription revenue was growing faster than the total company, which helped offset declines in older license support work.

The bear case was execution risk. Informatica had to move customers from older on-premises products to cloud usage pricing without losing renewals or letting cloud rivals take the account. That debate now belongs inside Salesforce, not to public INFA shareholders.

Nov 2025→The September 2025 Form 10-Q confirmed that Salesforce completed the Informatica merger on November 18, 2025. INFA ceased to be publicly traded, so the public investment thesis remains closed.
Aug 2025▼The June 2025 Form 10-Q disclosed the Salesforce merger agreement. The later close ended the stand-alone public stock case.
May 2025▲The March 2025 Form 10-Q showed cloud subscription revenue up 32% year over year to $199.9 million. Cloud reached 50% of total revenue, while net retention slipped to 120%.
Feb 2025▲The 2024 Form 10-K showed cloud subscription revenue up 35% for the year to $675.5 million. It also added CLAIRE GPT as a new AI feature and flagged AI and open source risks.
Nov 2024▲The September 2024 Form 10-Q showed cloud subscription revenue up 36% for the first nine months of 2024. Older maintenance and self-managed subscription lines kept shrinking as planned.
Jul 2024→The initial view centered on Informatica's move to cloud subscriptions through IDMC. The main risk was whether cloud growth could outrun the decline in legacy revenue.
02 Business model

Selling the tools that organize data

Informatica sold software that helps big companies move, clean, govern, and connect data. Its main platform was Intelligent Data Management Cloud, or IDMC. The company described IDMC as an AI-powered platform for managing data across public cloud and hybrid cloud systems.

The revenue model was shifting toward subscriptions. In the March 2025 quarter, subscription revenue was $284.0 million, or 70% of total revenue. Cloud subscription revenue was $199.9 million, or 50% of total revenue, and grew 32% from the year before.

The older parts were shrinking by design. Maintenance and professional services revenue was $119.9 million, or 30% of total revenue, in the March 2025 quarter. Those lines fell 12% year over year as the company stopped actively selling new perpetual licenses and pushed customers toward cloud subscriptions.

The key pricing idea was usage. Informatica used Informatica Processing Units, or IPUs, to measure how much of its cloud services a customer used. That can grow with customer activity, but it can also slow if customers cut projects, delay migrations, or watch their cloud bills more closely.

03 Product portfolio

What Salesforce bought

Growth engine

Intelligent Data Management Cloud

IDMC was the core platform. It covered data integration, data quality, master data management, and data governance in cloud and hybrid environments.

Growth engine

Cloud subscriptions

This was the main growth line before the merger. Cloud subscription revenue reached $199.9 million in the March 2025 quarter and made up 50% of total revenue.

Option

PowerCenter Cloud Edition

PowerCenter Cloud Edition was built to move older on-premises PowerCenter users to IDMC. That migration path mattered because Informatica had a large legacy customer base.

Option

CLAIRE GPT and AI copilots

In 2024, Informatica introduced CLAIRE GPT, a generative AI feature for IDMC. It gave users a natural language interface and copilot tools for data management tasks.

Cash cow

Legacy maintenance

Maintenance came from support contracts for older perpetual licenses. It still produced revenue, but it was expected to decline as customers moved to subscriptions.

Steady

Professional services

Services helped customers install, migrate, and use Informatica products. This line was not the main growth driver and was also in managed decline.

04 Business segments

Revenue mix before delisting

Subscription Revenue70%modest
Maintenance and Professional Services Revenue30%declining

The segment mix uses the three months ended March 31, 2025. Subscription was the larger line, but it included both fast-growing cloud subscriptions and declining self-managed subscriptions.

05 Risk factors

What could have broken the case

No tradable INFA shares

High impact · High odds

The main risk for a public investor is now simple: INFA is no longer a listed stock. Salesforce completed the acquisition on November 18, 2025, and Informatica said its common stock is no longer listed on the New York Stock Exchange. A retail investor cannot buy the old INFA ticker as a stand-alone public company.

We watchConfirm whether any broker still shows INFA as tradable, and check Salesforce filings for future Informatica updates.

Cloud migration stalls

High impact · Medium odds

Informatica depended on moving older on-premises customers to cloud subscriptions. In the March 2025 quarter, 10.7% of the legacy on-premises base had signed agreements to move to the cloud. If that pace slowed, the cloud growth story would have weakened while older maintenance kept shrinking.

We watchWatch cloud subscription revenue growth, cloud ARR growth, and the percent of legacy customers signed for cloud migration.

Renewal rates fade

High impact · Medium odds

The model relied on customers renewing subscriptions and expanding usage. Cloud Subscription Net Retention Rate was 120% at March 31, 2025, down from 124% a year earlier. That was still above 100%, but the drop was a signal to monitor.

We watchTrack Cloud Subscription Net Retention Rate and customer renewal commentary in Salesforce reporting.

Cloud and stack rivals squeeze it

Medium impact · High odds

Informatica faced large cloud platforms, traditional software stacks, point-solution vendors, and internal tools built by customers. The hardest threat came from platforms that already stored the data and could bundle basic data management tools. That could pressure prices or slow new deals.

We watchWatch win-rate comments, partner activity with AWS, Microsoft Azure, and Google Cloud, and any sign that customers replace Informatica with native cloud tools.

AI and security problems

High impact · Medium odds

Informatica added generative AI features through CLAIRE GPT and AI copilots. Its filings also warned that third-party AI models and open source software could create legal or license issues. A product security breach could also damage trust because the software touches sensitive company data.

We watchTrack disclosed security incidents, AI-related litigation, and changes to open source or AI model license terms.
06 Quick answers

In one breath

Can I still buy INFA stock?

No. Informatica said the Salesforce merger closed on November 18, 2025, and its common stock is no longer listed on the New York Stock Exchange. The stand-alone public stock story is closed.

What did Informatica do before Salesforce bought it?

Informatica sold enterprise data management software. Its IDMC platform helped companies move, clean, govern, and connect data across cloud and hybrid systems.

What was the main growth driver before the acquisition?

Cloud subscriptions were the main growth driver. In the March 2025 quarter, cloud subscription revenue grew 32% year over year to $199.9 million.

Why did Salesforce want Informatica?

The filings here do not give Salesforce's full deal logic. Based on Informatica's business, the asset was a cloud data management platform with AI features, large enterprise customers, and tools that help companies prepare data for analytics and AI.