Monday dot Com's leadership team discusses Q1 FY2026 financial results, including forward-looking statements and non-GAAP measures, inviting stakeholders to their earnings call for detailed insights.

Monday Do Com reports a 24% year-over-year revenue growth in Q1 2026, highlighting AI's role in driving efficiency and customer value. The company introduces a new pricing model, aligns with consumption-based AI benefits, and acquires 1 AI 13 for voice agent capabilities, redefining its platform as an AI work solution.

Announces robust Q1 fiscal 2026 revenue growth of 24%, reaching $351 million, with an NDR of 110%; guidance indicates slight NDR decline for the fiscal year. Highlights 89% growth margin, down from 90% in the prior year, and reiterates financials adjusted for non-GAAP measures.

The dialogue covered Q1 financials including R&D, sales, marketing, and G&A expenses, leading to an operating income of $49M and net income of $56M. It highlighted the negative FX impact on margins, ended with $2.21B in cash, and provided an FY26 outlook with revenue growth projections and adjusted free cash flow estimates.

The dialogue discusses the updated NDR guide, highlighting stabilization across business cohorts and positive trends in gross retention and customer expansion. It also touches on cautious performance marketing management and high-quality lead influx, aligning with initial year expectations despite a soft overall environment.

Discussion revolves around the introduction of a new C+ credits pricing model, detailing its structure for new and existing customers, and addressing future impacts, particularly by 2026, with an emphasis on gradual adoption and incentives for current customers.

The dialogue discusses the company's decision to modify its pricing model, not due to a decline in employee headcount or seat demand, but in anticipation of leveraging AI technology. It highlights strong market demand, particularly in emerging and upmarket segments, with double-digit growth observed. The conversation also touches on the trend of acquiring larger customers, noting less linearity in quarterly sales but consistent strong performance, especially in the final month of each quarter.

A participant in the dialogue congratulates on an impressive performance, expressing thanks for the opportunity to speak and acknowledging the commendable results.

Discusses customer adoption of AI technologies, emphasizing integration with existing workflows for improved collaboration among agents and users, both internal and external, within work platforms.

Exploration into how AI, excluding the agents product, contributed 10% to new AR in Q1, focusing on existing offerings like AI blocks and psychic services, and distinguishing direct AI contributions from AI-enabled enhancements.

The dialogue discusses the gradual adoption of a new pricing model combining seat-based and usage-based pricing, with AI as an integral component. While specifics are still under development, the acquisition of a knowledgeable team is expected to accelerate AI integration and adoption, particularly among existing customers. Challenges remain in predicting exact adoption rates, especially differentiating between mid-market and large enterprise segments.

Discussed factors impacting financial outlook including currency appreciation, foregone interest, and tax implications, with emphasis on headcount as a cushion. Benefits from hiring and currency dynamics noted, with impacts more pronounced in the upcoming year.

A discussion on the broad-based revenue upside factors, including strong momentum, record net head, and AI contribution. The conversation also covers the monetization angle for first and third-party agents, emphasizing Monday's own agents' collaboration and data access capabilities.

A discussion unfolds on customer reactions to a new AI credit pricing structure, emphasizing concerns over potential costs, and explores the effects of recent pricing changes on in-quarter NDIS metrics.

Discussion highlights customer demand for AI credit transparency and control, emphasizing governance features. Enterprise deals trend towards larger, multi-year commitments, impacting NDR figures positively, with strong gross retention noted.

Discussion focuses on integrating usage-based pricing to better align AI costs with revenue, aiming for gross margin preservation amidst expected short-term AI computing cost increases, anticipating a shift from 90% to 80s margins by fiscal 2026.

The dialogue highlights the strategic importance of incorporating voice capabilities into CRM and AG platforms to transform service into more customer-friendly applications. Emphasizing the need for customization and intuitive design, the discussion underlines the potential of voice agents in simplifying technology adoption for customers.

Discussed significant ARR growth from new products, exceeding 11%, with emphasis on CRM and service enhancements. Noted opportunities in sales augmentation and mid-market segments, highlighting successful adoption and cross-selling in enterprise and SMB markets.

Discussion on lower script sales attributed to marketing shift from lower to higher-end resources, with expectations for improved performance as seasonality progresses.

The dialogue highlights the strong performance in Q1 driven by AI product growth, reaching nearly 10% of net revenue, and sustained upmarket momentum. FX contributed a minor tailwind, but its impact on overall growth was negligible. The conversation also touches on expectations for Q2 trends and annual guidance.

Discusses the growing agent sign-ups to the MCP platform, noting stronger retention among users. Highlights the trend of customer expansion activity and the impact of making Monday more accessible to agents.

Discussion revolves around factors influencing a lower sequential revenue growth prediction for Q2, despite the quarter typically being stronger, examining prudence and new dynamics impacting the forecast.

The dialogue highlights ongoing investments in AI, GT capabilities, and product development, which are expected to increase expenses throughout the year. Despite uncertainty in revenue growth, the focus remains on managing annual expectations rather than quarterly outcomes, implying a moderation in growth loops within the guidance.

The dialogue discusses the difficulty in predicting AI product revenue, especially for consumption-based models, for the 2026 guidance, noting that AI revenue from AI agents was not a significant source in the first quarter. The uncertainty around modeling revenue from AI agents and consumption is highlighted, with a promise for more clarity in the next quarter's update.

Discussion focused on strategies to encourage current enterprise customers to adopt a new AI package model, offering incentives for bundled purchases without forcing migration, ensuring an opt-in policy.