
Microsoft generated $82.9 billion in quarterly revenue versus Salesforce’s $11.2 billion, and both companies posted consistent quarter-over-quarter revenue growth over the last eight quarters. Salesforce’s fiscal 2026 revenue rose 10% year over year to $41.5 billion, with fiscal 2027 guidance of $45.8 billion-$46.2 billion, while Microsoft’s fiscal third-quarter sales increased 18% year over year. The article frames both stocks as fundamentally strong but relatively attractively valued after Q1 selloffs, with AI seen as supporting Microsoft and not materially hurting Salesforce.
The gap is the real signal, not the absolute revenue level. Microsoft’s scale advantage lets it compound from a much larger base, but Salesforce’s faster recent percentage growth suggests the market is still underestimating how much operating leverage can come from enterprise software once AI features are monetized through seat expansion, upsells, and higher attach rates. If CRM can keep mid-teens top-line growth while holding margins near current levels, the stock can rerate even without closing the revenue gap materially. The second-order risk for CRM is that revenue acceleration may be less durable than it looks: if AI features are bundled into existing contracts rather than sold as separate modules, headline growth can stay healthy while billings quality weakens. That would matter most over the next 2-4 quarters, when investors start distinguishing between true demand creation and price/mix effects. For MSFT, the bigger issue is not growth, but the market’s willingness to look through elevated AI capex long enough for incremental cloud and Copilot monetization to show up in margin expansion. The market may be too focused on valuation compression and not enough on earnings power persistence. CRM at a depressed multiple is attractive only if management can avoid a “growth without reacceleration” trap; otherwise the low P/E is a value trap in slow-motion. MSFT is the cleaner quality compounder, but its near-term multiple support depends on evidence that AI infrastructure spend is converting into durable revenue per customer rather than just protecting share against other hyperscalers.
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mildly positive
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0.25
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