Earnings Recap — Q3 FY2026
CY Q3 2026 · Reported July 29, 2026 · Beat 7 of last 7 quarters
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PTC's results reinforce that AI adoption is driving demand for product data modernization, positioning its PLM/CAD systems as critical infrastructure for AI-driven engineering workflows. The company's largest-ever AI deal and growing AI-related API usage on Onshape signal that AI is becoming a meaningful driver of ARR growth, which could have positive implications for the broader AI infrastructure ecosystem that relies on structured product data.
PTC reported Q3 FY2026 constant-currency ARR of $2.448 billion, up 9.1% year-over-year excluding Kepware and ThingWorx, exceeding the high end of guidance. Net new ARR was $60 million, and free cash flow was $249 million, both above guidance. The company repurchased $525 million of stock in the quarter, more than double its prior target, and raised full-year repurchase guidance to approximately $1.625 billion. Management highlighted strong demand capture, improved retention, and several notable wins, including a competitive PLM displacement at a major defense contractor and the largest AI deal ever, a near-7-figure ServiceMax AI deal with a leading industrial automation company.
Management raised the midpoint of fiscal 2026 constant-currency ARR growth guidance to 9.25% (range 9% to 9.5%), citing sustained go-to-market execution and improved pipeline visibility. They expect a significant step-up in Q4 net new ARR of $79M to $92M, supported by a meaningful increase in deferred ARR. Full-year free cash flow guidance was maintained at approximately $850M, while revenue and non-GAAP EPS guidance midpoints were raised to $2.69B-$2.75B and $7.87-$8.42, respectively. Management expressed confidence in a path to low double-digit ARR growth in fiscal 2027, driven by continued demand capture, deferred ARR conversion, and AI-driven modernization tailwinds. They also highlighted that AI monetization will be a medium-to-long-term opportunity, with near-term benefits coming from accelerated product data foundation modernization and displacements.
“We have turned the corner with our go-to-market transformation. We are seeing the results of the transformation in our customer wins, including deeper vertical expertise, executive level engagement and better cross-team collaboration.”
on Go-to-market transformation
“AI will be a tailwind for our business because AI requires our systems of record and the product data stored in them to be effective.”
on AI strategy
“We have turned the corner with our go-to-market transformation. We are seeing the results of the transformation in our customer wins, including deeper vertical expertise, executive level engagement and better cross-team collaboration.”
on Execution and momentum
Given the stable selling environment and the raise in ARR guidance, can you outline a path to low double-digit ARR growth for fiscal '27?
Jen DiRico reiterated that if the business performs on a like-for-like basis on net new ARR next year as it did this year, plus the deferred ARR already on the books, growth would accelerate. She noted the midpoint of this year's guidance is now 9.25% versus 8.5% a quarter ago, reinforcing confidence.
With Q3 net new ARR above prior-year levels and Q4 guidance above historical levels, are we where you envisioned when you started the go-to-market changes, or are there more benefits to come?
Neil Barua said the sustained execution over the last four quarters gave confidence that they have turned the corner. He cited improvements in rep productivity, renewal rates, pipeline quality, velocity, and displacements, as well as deeper vertical expertise and C-level engagement. He emphasized they are not stopping and will continue to improve.
What changed from last quarter to this quarter that drove such strong outperformance, and how confident are you in the implied Q4 net new ARR step-up?
Jen DiRico attributed Q3 outperformance to strong demand capture and better-than-expected retention. For Q4, she pointed to the raised guidance midpoint and narrowed range, reflecting pipeline visibility and continued execution. Neil Barua added that the go-to-market transformation has reached a new operating standard, the divestiture has sharpened focus, and customers increasingly recognize the need to build a strong product data foundation before deploying AI.