SAP's Joule Rollout Meets a Cloud Backlog Test as BMO and UBS Split on the Growth Story

BMO raised its SAP target to $235 on cloud optimism, while UBS kept Neutral and expects backlog growth to slow. Q3 results land October 21.

SAP has spent the past week stacking up product announcements, a fresh acquisition and a pair of divergent analyst notes. For shareholders, the real question is narrower than any of that: will the demand side of the business validate the more bullish cloud expectations now being priced in?

BMO Capital's Keith Bachman raised his price target on the software maker from $177 to $235 on Thursday while keeping an "Outperform" rating. According to media reports, he pointed to improved cloud growth expectations and more constructive feedback on Joule. The call explicitly ties SAP's product pipeline to its expected commercial trajectory — a link that has yet to be proven in reported numbers.

A Product Blitz With a Deadline Attached

At SAP Connect on Thursday, CEO Christian Klein said Joule Work would be made available to all customers during October. The company showed customer examples and demonstrations of what it calls the "autonomous enterprise," putting the promised broader rollout close to the next earnings release. By year-end, SAP intends to have more than 400 Joule Agents in the market.

The push extends into human capital management. On Wednesday, SAP outlined its "Autonomous HCM" concept, describing how AI would automate and redesign HR processes. That framing folds in the pending acquisition of TechWolf, a Belgian vendor of an AI-powered platform for analyzing skills and work tasks, which SAP agreed to buy on Tuesday. The deal is expected to close in the fourth quarter of 2026, subject to customary conditions and regulatory approvals. No purchase price was disclosed.

The caveat matters: SAP has signed the agreement, not completed it. Autonomous HCM describes strategic direction, not an integration already in place.

SAP cites productivity gains of 20% across finance, HR and procurement from deploying the tools internally. That figure covers SAP's own operations and does not by itself evidence additional customer orders — though it could reinforce the value case if similar benefits show up at clients.

The Backlog Is Where the Argument Gets Decided

The metric that will settle the debate is growth in the current cloud backlog. UBS analyst Michael Briest reaffirmed a "Neutral" rating and a EUR 201 price target on Wednesday, and according to media reports expects that growth measure to slow. It was a reiteration, not a fresh downgrade.

That sets up a concrete tension: SAP can keep widening its AI offering while the backlog loses momentum. Shareholders weighing the more optimistic valuation therefore need to separate announced availability, actual usage and financial outcome. Demonstrations document the direction of product development; on their own they do not prove incremental cloud growth.

The German-speaking SAP user group added a different yardstick on Tuesday, calling for transformations to be measured more heavily against cost-effectiveness, freedom of choice and demonstrable customer value. Its investment report found that 56% of respondents run S/4HANA on-premises, with 42% planning high or medium investment in that deployment model for 2026. Those figures describe the DSAG survey, not SAP's business performance — but they are a reminder that spending appetite in the SAP ecosystem does not translate automatically into extra cloud growth.

What October 21 Has to Show

Third-quarter 2026 results land on October 21, with publication scheduled for 22:05 and an analyst and investor call at 23:00. That is the next hard checkpoint for testing both narratives.

If demand underpins the improved cloud expectations, the wider Joule rollout could support the bullish case. If backlog growth does decelerate as UBS anticipates, product announcements alone would be a thin counterweight — and the burden would fall on SAP to show a demonstrable economic contribution. Until then, the investment case rests less on another AI headline than on how convincingly demand and customer value connect.