Appian Corp

Automation software stocks reported a strong second quarter, with the five companies tracked beating analysts' consensus revenue estimates by 5.2% and guiding next quarter's revenue 3.8% above expectations. Microsoft led with revenues of $90.01 billion, up 17.7% year on year and exceeding estimates by 2.6%, while SoundHound AI delivered the biggest beat at 18.1% with revenues of $61.9 million, up 45% year on year. Pegasystems was the weakest performer, missing revenue estimates by 1.5% with $420.7 million in revenues, up 9.4% year on year. Appian and ServiceNow also beat estimates, with revenues of $203.3 million and $3.99 billion respectively. Share prices of the group have risen 14.8% on average since the latest earnings results.

Appian reported second quarter results driven by strong demand for its low-code automation platform, with revenue of $203.3 million beating analyst estimates of $193.3 million and growing 19.1% year over year. Adjusted EPS of $0.13 significantly beat expectations of $0, and adjusted EBITDA of $16.16 million also exceeded the $7.25 million consensus. The company raised full-year revenue guidance to $849 million at the midpoint from $825 million, and lifted adjusted EPS guidance to $1.08 at the midpoint, an 8.5% increase. CEO Matthew Calkins highlighted that customers' Appian AI usage is 20 times greater than last year's second quarter, and 85% of new logos bought AI. During the earnings call, analysts from KeyBanc, William Blair, Citi, Morgan Stanley, and Barclays questioned management on vertical strength, bookings deceleration, pipeline quality, competitive positioning, and public sector modernization timelines.

Appian reported second-quarter revenue of $203.3 million, beating analyst estimates of $193.3 million and growing 19.1% year on year, while raising its full-year revenue guidance to $849 million from $825 million. Adjusted earnings per share of $0.13 significantly exceeded the consensus estimate of $0, and adjusted EBITDA of $16.16 million more than doubled the expected $7.25 million. CEO Matthew Calkins said customer AI usage increased twentyfold from the prior year, with 85% of new customers purchasing AI-enabled offerings, driving broad-based strength across healthcare, banking, insurance, and public sector accounts. The company also lifted its full-year adjusted EPS guidance to $1.08 and EBITDA guidance to $107 million, above analyst estimates of $101.5 million, while accelerating sales hiring to capture growing demand for legacy modernization projects.

The global workflow automation market is projected to grow from $24.81 billion in 2025 to $64.88 billion by 2035, at a compound annual growth rate of 10.09%. Cloud-based platforms and generative AI are driving expansion, with the cloud deployment model expected to achieve the highest CAGR of 15.22% during the forecast period. In 2025, the software segment held a 68% market share, while large enterprises accounted for 69% of revenue. North America led with 37% of global revenue, and the BFSI sector was the largest end-use segment at 26%. Key players include Oracle, IBM, Software AG, Appian, and Pegasystems, which recently launched AI-driven dispute resolution tools.

Appian and GitLab shares jumped in afternoon trading after Guggenheim analyst John DiFucci upgraded Salesforce and ServiceNow to Buy, arguing that AI-disruption fears had pushed software valuations too low. DiFucci, previously a skeptic, said he was not upgrading because of AI benefits, calling near-term AI monetization unlikely and AI risks very real, but that the worst-case scenario was already priced in with Salesforce at about 3.7 times enterprise value to recurring revenue and ServiceNow’s target at 7.5 times. The upgrades lifted the broader enterprise software group, signaling that the repricing had overshot and inviting bargain-hunting. Oracle also rose about 2% after being added to William Blair’s July Analyst Conviction List and on news of a new AI product. Appian gained 4.7% and GitLab rose 4.4%.

Appian Corporation is embedding agentic AI capabilities within structured business processes to improve reliability and help enterprises achieve measurable returns on investment. In the first quarter of 2026, a telecommunications customer expanded its use of Appian to automate compliance reviews across digital advertising operations, expecting to verify thousands of advertisements daily with roughly 98% accuracy and reduce resource requirements by 33%. The company's strategy centers on deploying AI agents within process controls, data access, and monitoring frameworks rather than allowing independent operation, aiming to improve effectiveness while reducing error risk. Appian's agentic AI is supported by data fabric technology that lets enterprises access information across multiple systems without moving data, enabling AI deployment across larger workflows with visibility and control. The company emphasizes operational outcomes such as labor savings, faster processing, and improved accuracy, positioning agentic AI as a driver of enterprise software spending amid competition from Pegasystems and Salesforce.