Salesforce delivered its strongest quarter in years, and our thesis assessment has responded accordingly. After incorporating Q4 FY2026 earnings data across all nine forecast markets, we have upgraded the classification from “price-at-value” to “price-below-value” and reclassified EXPECTATIONS_PRICED from DEMANDING to MODEST. At $183 and approximately 10x forward EV/FCF on $16.5B+ guided FCF, the embedded expectations are now below what management has explicitly committed to deliver.
What Drove the Upgrade
Q4 FY2026 broke the 7-quarter revenue growth band of 8-10%. Revenue of $11.2B (+12% YoY, +10% constant currency) fired our de-escalation trigger for NARRATIVE_REALITY_GAP. Total RPO reversed dramatically from ~$60B to $72B (+14% YoY), eliminating the forward commitment weakness that was our strongest negative competitive signal. Best-ever large deal performance (12 deals above $10M, including 1 above $50M) and AgentForce at $800M ARR with 120+ Integrated License Agreements confirm that the AI transition is beginning to materialize in operational metrics.
The single signal change from our 7-lens analysis — EXPECTATIONS_PRICED moving from DEMANDING to MODEST — reflects a fundamental shift in the risk-reward. At ~10x forward EV/FCF on $16.5B+ FY27 FCF guidance, with 10-11% revenue growth and 34.3% margin expansion, the stock now requires less than what management is explicitly committing to deliver. The deceleration fragility that drove the May 2024 20%+ decline is now priced into the multiple itself.
Prediction Ensemble: 4 Resolved, 5 Updated
Four markets resolved with an average Brier score of 0.22. The ensemble was well-calibrated on threshold events (AgentForce $1B: Brier 0.05, margin guidance: Brier 0.05) but systematically too bearish on execution metrics (revenue growth: Brier 0.58). This calibration feedback supports the upgrade: when the ensemble underestimates CRM execution, the remaining active markets may also be conservative.
Full thesis assessment with market-by-market analysis, resolved market calibration, balancing factors, and key uncertainties
CRM Full Thesis Assessment