CRM · Q1 2026 Earnings
BullishSalesforce
Reported May 28, 2025
30-second summary
30-second take: Revenue grew 7.6% YoY to $9.83B (8% as the company frames it) with non-GAAP EPS of $2.58, and management raised the FY26 revenue range by $400M at the top end to $41.0–41.3B on a weaker dollar. The real story is the tone shift on AI: AgentForce now has 4,000 paying customers and >8,000 deals closed in roughly six months, Data Cloud + AI ARR crossed $1B growing >120% YoY, and the just-announced $8B Informatica acquisition reframes the data-layer story as a moat rather than a feature. Headline growth is still single-digit and cRPO at 12% is held back by lingering FY23 bookings weakness, but the underlying mix is shifting faster than the print suggests.
Headline numbers
EPS
Q1 FY2026
$2.58
Revenue
Q1 FY2026
$9.83B
+7.6% YoY
Gross margin
Q1 FY2026
76.9%
Free cash flow
Q1 FY2026
$6.30B
Operating margin
Q1 FY2026
19.8%
Key financials
Q1 FY2026| Metric | Q1 FY2026 | YoY |
|---|---|---|
| Revenue | $9.83B | +7.6% |
| EPS | $2.58 | — |
| Gross margin | 76.9% | — |
| Operating margin | 19.8% | — |
| Free cash flow | $6.30B | — |
Guidance
Prior quarter data unavailable — comparison not possible.
Segment performance
Q1 FY2026| Segment | Q1 FY2026 | YoY |
|---|---|---|
| Sales | $2.131B | +6.7% |
| Service | $2.334B | +7.0% |
| Platform and Other | $1.963B | +14.3% |
| Marketing and Commerce | $1.325B | +3.3% |
| Integration and Analytics | $1.544B | +9.9% |
Platform metrics
Q1 FY2026| Segment | Q1 FY2026 |
|---|---|
| Data Cloud and AI ARR | >$1.0 billion |
| Data Cloud and AI YoY Growth | >120% |
| Current Remaining Performance Obligation (cRPO) | $29.6 billion |
| cRPO YoY Growth | 12% |
| Subscription & Support Revenue | $9.3 billion |
| Agentforce Deals Closed | >8,000 |
| Data Cloud Records Ingested (Q1) | 22 trillion |
Profitability
Q1 FY2026| Segment | Q1 FY2026 |
|---|---|
| Non-GAAP Operating Margin | 32.3% |
Other KPIs
Q1 FY2026| Segment | Q1 FY2026 | YoY |
|---|---|---|
| Americas | $6.469B | +6.7% |
| Europe | $2.337B | +8.9% |
| Asia Pacific | $1.023B | +10.5% |
Management tone
Five distinct posture shifts emerged versus how Salesforce has historically framed its AI story. Confidence is the highest it's been on the AI thesis.
AgentForce moved from pilot to platform. Prior framing positioned AgentForce as an early product with uncertain ROI; this quarter management cited 4,000 paying customers, >8,000 deals, and $100M AOV reached faster than any product in company history. Benioff's anchor: "I really see us as the number one agent platform already, and it's only been a few months." That's an unqualified leadership claim on a six-month-old product — a meaningful confidence escalation.
Data Cloud reframed as enterprise-mandatory infrastructure, not a niche feature. Records ingested hit 22 trillion (+175% YoY) and Data Cloud + AI ARR crossed $1B (+>120%). The repeating phrase — "Every AI transformation is a data transformation" — is the central thesis underwriting both the AgentForce attach story and the Informatica deal.
M&A posture shifted from disciplined-and-willing-to-walk-away to transformational. After publicly walking away from Informatica last year, Salesforce signed an $8B definitive agreement this quarter. Management called it "a key enabler for Salesforce's next phase of AI-driven growth" — language consistent with platform-defining M&A, not a tuck-in. Two-year accretion timeline targets acceleration via the standard playbook.
Internal AI deployment is now a sales proof point, not just a cost initiative. Management cited 21,000+ AE interactions through the Slack sales agent saving 44,000 hours annually, and help.salesforce.com handling 750K+ requests handled, on track to surpass 1M this quarter with case volume down 7% YoY. The framing — Salesforce as "Customer Zero" — is being used to validate enterprise-scale agent deployment in front of customers.
The "four clouds" pitch was replaced with the ATOM framework. Agents, Data, Apps, Metadata — a unified stack story rather than a product checklist. This is positioning groundwork for selling Informatica + Tableau + MuleSoft + Data Cloud as one data/AI layer against point-solution competitors.
Recurring themes management leaned on this quarter:
Risks management surfaced:
Q&A highlights
Keith Wise · Morgan Stanley
When will Agent Force and Data Cloud become material growth drivers for Salesforce? Currently at 10% growth, investors want to see acceleration and a return to stronger growth trajectory.
Management outlined a multi-faceted growth strategy focused on distribution expansion (1,000-2,000 new salespeople), geographic strength (Japan, South Asia, APAC), and market segment focus (SMB, mid-market). Miguel Milano detailed 22% planned AE capacity growth by year-end, strong pipeline momentum in double digits, and near-60% run-rate ARR. Emphasized maintaining margin and cash flow frameworks while investing in growth.
Brad Sills · Bank of America
What leading indicators demonstrate Agent Force will be a material growth cycle? How do you know this isn't just pilot/hype versus sustained revenue-generating transformation?
Management cited rapid customer adoption (8,000 customers, 4,000 paying, many with scaled deployments in months), bundled multi-cloud deals (average 4 other clouds per Agent Force deal), and top 100 deals showing one-third include both Agent Force and Data Cloud. Emphasized non-standalone nature with deep integration across entire product portfolio. Detailed consumption-focused strategy with 22 trillion records ingested (8 trillion zero-copy) and 30 Agent Force customers already reordering.
Remo Lenzschau · Barclays
How will the combined portfolio of Tableau, MuleSoft, and Informatica change the game for Agent Force and the company's competitive position?
Management described deep integration of Tableau (with agentic layer, metadata platform, Hyperforce, Slack, core apps), organizational restructuring to embed Tableau in core sales motion with co-prime selling model, and Informatica's role in data harmonization. Srini elaborated on enterprise-grade data platform combining MuleSoft, Data Cloud, Tableau, and Informatica as foundation for trusted agents. Detailed three customer segments (expansion, pilot, enterprise) with different needs and forward-deployment engineering approach.
Brad Zelnick · Deutsche Bank
What are the leading-edge use cases, applications, and ROI metrics for Agent Force? How does Data Cloud fit into these transformations?
Management cited examples including Fujitsu in Japan scaling agents across entire company, Smartsheet embedding agents for license provisioning/support automation, and Salesforce's own help.salesforce.com passing 1 million conversations in customer support. Emphasized rapid product iteration (features released almost daily), upcoming Dreamforce releases representing major transformation. Highlighted Informatica acquisition as critical for customer data harmonization requirement.
Cash Reagan · Goldman Sachs
What unblocks are needed for Agent Force adoption to scale from 4,000 to 100,000+ customers like ChatGPT's 500M users? Why Informatica's long 2-year accretion timeline?
Management explained enterprise constraints requiring tight data governance, security, and access controls that consumer LLMs (ChatGPT, Gemini) don't need. Emphasized that enterprise agents require harmonized data sets—Informatica's core function. Noted Salesforce's own help.salesforce.com as proof point of enterprise-scale agent deployment. For Informatica timing: deal expected to close early FY27 (February 2026), with accretion framework of 2 years targeting acceleration through established playbook.
What to watch into next quarter
cRPO acceleration above 12%. Current 12% growth is held back by the lingering FY23 bookings cohort effect management explicitly flagged. Watch whether Q2 cRPO prints above the ~10% guide and whether management retires the FY23-cohort drag commentary — that would be the first hard signal AgentForce/Data Cloud bookings are outrunning the legacy headwind.
AgentForce paying-customer count and reorder rate. 4,000 paying customers and 30 reorders is the new baseline. Watch for both numbers next quarter — reorder count is the cleaner consumption signal than deal count.
Data Cloud + AI ARR holding >$1B and >100% growth. Management drew a line in the sand on this disclosure. If growth decelerates meaningfully below 120% on a larger base, the AI flywheel narrative weakens.
AE capacity build to +22% by year-end. From 13,000 today; this is the largest distribution investment in years. Watch quarterly AE additions and any commentary on productivity ramp — capacity ahead of demand would pressure the 34.0% non-GAAP margin commitment.
Marketing & Commerce stabilization. +3.3% YoY is materially worse than the rest of the portfolio. Watch whether this is structural or cyclical; a second quarter below 5% raises questions about the cloud's strategic role in the ATOM framework.
Informatica deal close timeline (Feb 2026) and any change to the 2-year accretion commitment. Any pull-forward of accretion would be a positive surprise; slippage on either timeline or framework would invite scrutiny on the $8B price.
Sources
- Salesforce Q1 FY26 Press Release (Form 8-K Exhibit 99.1), filed May 28, 2025 — https://www.sec.gov/Archives/edgar/data/1108524/000110852425000027/crm-q1fy26xexhibit991.htm
- Salesforce Q1 FY26 earnings call commentary (management prepared remarks and Q&A)
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