SaaSpocalypse Recovery: Winners and Losers Revealed
The Gist
- B2B software market recovers with $2 trillion swing
- CrowdStrike up 83%, monday.com down 36% YTD
- AI workloads and multiples drive divergence
- Consumption and security sectors lead with 54-83% gains
Key Quotes
The disruptor is the demand driver.
Consumption pricing gives you the upside on AI workloads and hands you customer concentration risk in the same sentence.
Key Insights
- The recovery of the SaaS market is nearly complete, with AI displacement fears being overblown.
- Security companies like CrowdStrike benefit from AI adoption as it expands the attack surface.
- Consumption-based pricing models are more resilient in the AI-driven market compared to seat-based pricing.
- HubSpot's decline is attributed to larger buying committees, longer sales cycles, and increased budget scrutiny.
- Companies with consumption-based pricing models are better positioned to capitalize on AI-driven workloads.
- The market is re-rating companies based on their ability to add AI-driven revenue lines.
Actionable Takeaways
- Shift to consumption-based pricing models to better align with AI-driven market demands.
- Monitor customer concentration risk, especially with consumption-based pricing models.
- Focus on AI-driven revenue lines to improve market re-rating and investor confidence.
- Prepare for longer sales cycles and increased budget scrutiny by streamlining approval processes.
Data Points
- 40% (Increase in the iShares Expanded Tech-Software ETF (IGV) from its April low to September 3.)
- 83% (Year-to-date increase in CrowdStrike's stock price.)
- 36% (Year-to-date decline in monday.com's stock price.)
- 19% (Drop in Datadog's stock price on August 6, its steepest since its 2019 IPO.)
- 14% (Growth in Salesforce's cRPO in constant currency.)
- 44% (Growth in Atlassian's RPO in Q4 FY26.)
- 117 points (Spread between the best and worst performers in the SaaS market recovery.)
RevBots.ai View:
AI adoption and sector-specific tailwinds are reshaping SaaS valuations unevenly.
Full Story:
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