Kinaxis Doubles Down on Agentic AI as Enterprise Deal Sizes Nearly Double and Guidance Moves Higher
Q2 2026 earnings call, August 6, 2026
Kinaxis delivered its strongest first half on record and used the occasion to raise full-year revenue and SaaS growth guidance, but the more important story for investors is what is happening beneath the headline numbers: a supply chain planning software vendor that is rapidly repositioning itself as an agentic AI orchestration platform, with early monetization signals that are starting to show up in bookings data.
Enterprise Deals Are Getting Bigger, Not Just More Numerous
The standout metric this quarter was deal size. CEO Razat Gaurav said average deal size was almost double what the company saw in the second quarter of last year, and Kinaxis won three times as many contracts with average annual contract value above $1 million compared to a year ago. Expansion sales to existing customers hit a company record, growing more than 70% year-over-year in ACV bookings. This is a meaningful shift in the sales motion: net new ARR growth of $75 million year-over-year is now being driven predominantly by large and enterprise-tier customers, confirming that Kinaxis' upmarket push is translating into wallet share rather than just logo count. Total revenue reached $158.8 million, up 16%, while SaaS revenue rose 20% to $106.5 million.
Usage-Based Pricing for AI Agents Is Live
Perhaps the most consequential operational change disclosed this quarter is that all new customer proposals now include Maestro Activity Unit (MAU) pricing, and select contract renewals beginning in July have started incorporating MAU bundles. This is Kinaxis' first real attempt to monetize agentic AI usage directly rather than bundling it into flat subscription fees, and management described it as a "phased approach to align pricing with the value we create for our customers." Roughly 10% of the installed customer base is now on a paid or trial AI agent subscription, up from a standing start after launch late last year. Investors should watch this ratio closely in coming quarters since it is the clearest proxy for how successfully Kinaxis converts AI hype into recurring revenue.
Forward Deployed Engineers: A New, Unproven Go-to-Market Bet
Kinaxis is standing up a Forward Deployed Engineer (FDE) practice, modeled explicitly on approaches used at Palantir and Celonis, led by newly hired Manik Sharma. The company has built FDE "pods" in North America, Europe and India, staffed with process architects, data engineers and data scientists, and is in the discovery phase with a growing list of customers to define bespoke AI-driven use cases on top of the Maestro platform. Management was careful to note that none of this is baked into 2026 guidance, and CFO Herb Yeh said revenue from FDE engagements is expected to be recognized ratably at SaaS-like gross margins once it materializes. This is a call option on future growth rather than a near-term financial driver, and the company is explicit that meaningful contribution will not show up until "the end of this year and into 2027."
Guidance Raised, But Second-Half SaaS Growth Embeds Some Conservatism
Kinaxis raised full-year total revenue guidance to $625 million-$640 million, implying 14% to 17% growth, and lifted SaaS revenue growth guidance to a range of 18% to 20%, or $427 million to $434 million. Adjusted EBITDA margin guidance was reaffirmed at 25% to 26%. Notably, EBITDA margin is expected to step down somewhat in the second half after a stronger first half, which Yeh attributed to elevated subscription term license revenue recognition in the first quarter and a deliberate decision to keep investing behind AI product momentum rather than harvest margin. Subscription term license revenue is now expected to grow 85% for the full year, up sharply from a prior 60% estimate, driven by on-premise customer expansion deals. Professional services revenue guidance was also raised to mid-single-digit growth from low-single-digit previously, helped by premium realized rates, even as the company continues shifting implementation work to systems integrator partners, a mix shift management called "a positive development" for its channel economics.
Vertical Demand Is Broadening, With Data Centers and Defense as Swing Factors
Gaurav flagged a "significant uptick" in demand tied to data center buildouts, with customers across tooling, equipment, storage, semiconductor, power and energy already on the Maestro platform. Ansaldo Energia, a major European power generation equipment manufacturer, was cited as a new win explicitly linked to AI-driven energy infrastructure demand. Aerospace and defense was also called out as an emerging vertical given capacity constraints and complex bills of materials. New logo wins this quarter included Lacoste, Gedeon Richter, Dechra, Tsumura and Rockwell Automation, along with an unnamed Fortune 500 machinery company, spanning consumer, life sciences and industrials verticals in a way that suggests demand is not concentrated in a single end market.
Scenario planning usage on the platform rose every month from April through July, with July activity up 30% year-over-year, a data point management uses to argue that macro volatility (tariffs, geopolitical conflict, energy prices) is a structural tailwind rather than a temporary spike. Gross margin improved to 66%, up 1.6 points, though subscription software margin actually declined to 78% from 80% as the company absorbs higher cloud hosting costs during its migration off private data centers, a transition set to finish in Europe by the end of 2026 and in North America by the end of 2027.
On competitive positioning, Gaurav pushed back on the notion that agentic AI is becoming commoditized across supply chain vendors, arguing Kinaxis' advantage rests on proprietary access to its own planning data through Maestro's semantic and ontology layer, decisioning algorithms embedded in the core platform, and what he called "deep understanding of the physics of the supply chain" reflected in its network model. Whether that differentiation holds as competitors race to ship their own agents is likely to be one of the more contested debates among investors covering the stock over the next several quarters.