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Morgan Stanley Says It’s Time to Buy These 2 Beaten-Down SaaS Stocks

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Morgan Stanley Says It’s Time to Buy These 2 Beaten-Down SaaS Stocks

Atlassian's stronger-than-expected results and encouraging guidance helped lift beaten-down SaaS stocks, easing fears of a broad enterprise software demand collapse. Morgan Stanley's Elizabeth Porter remains constructive on Klaviyo and HubSpot, citing durable fundamentals, AI adoption, and room for estimate revisions; she rates both Overweight with $34 and $405 price targets, respectively. Klaviyo reported Q4 revenue of $350.2 million, beating by $16.22 million with EPS of $0.19, while HubSpot posted $846.7 million in Q4 revenue, beating by $16 million with EPS of $3.09.

Analysis

The key signal is not that software is “back,” but that investors are beginning to reprice dispersion inside the group. Names with clear workflow ownership and measurable AI monetization should continue to decouple from generic application vendors, while products that can be substituted by embedded copilots remain vulnerable to further multiple compression. That favors platformized marketing/customer-engagement software over horizontal point solutions because these tools sit closer to revenue generation, making budget cuts harder to justify. KVYO and HUBS look better than the market is currently pricing because both can turn AI into revenue yield, not just cost takeout. The second-order effect is that AI diffusion may actually widen their moat: as customers generate more content and customer interactions, the value of unified data, identity, and orchestration rises. The risk is execution timing — if AI monetization stays aspirational into 2H, these names can still underperform despite good fundamentals, especially if the market keeps demanding estimate revisions before awarding multiple expansion. NOW remains the pressure valve for the sector: it is the bellwether most exposed to the “why pay for separate software modules?” debate, so any continued weakness there can cap a broader SaaS re-rating. The catalyst path is narrow: either 1Q/2Q guidance inflects enough to prove demand durability, or the group stays range-bound and only the most differentiated AI-enabled platforms outperform. The contrarian view is that the selloff has already discounted a recession-like demand shock, so even modestly positive budget commentary can trigger fast short-covering over the next 2–6 weeks. From a positioning standpoint, the better trade is relative value, not broad beta. The market is likely to reward companies where AI increases conversion, retention, or upsell rather than those merely adding copilots to defend seat counts. That implies a long/short spread can work even if software as a whole remains choppy.