DigitalOcean(DOCN) - 2025 Q4 - Earnings Call Transcript

Financial Data and Key Metrics Changes - The company achieved 18% revenue growth in Q4, reaching $901 million for the full year [5][36] - Adjusted EBITDA margins were 42% for the year, with adjusted free cash flow margins at 19% [5][38] - Q4 gross profit was $142 million, up 13% year-over-year, with a gross margin of 59% [36][37] - Non-GAAP diluted net income per share for the full year was $2.12, a 10% year-over-year increase [40] Business Line Data and Key Metrics Changes - The company delivered $51 million in incremental organic ARR in Q4, the highest in its history [5][11] - ARR from Digital Native Enterprises (DNEs) reached $604 million in Q4, accounting for 62% of total ARR, growing 30% year-over-year [12] - The million-dollar customers segment reached $133 million in ARR, growing at 123% year-over-year [12][52] Market Data and Key Metrics Changes - AI customer ARR reached $120 million in Q4, growing 150% year-over-year, making up 12% of total ARR [31] - The company expects to deliver 21% revenue growth in 2026, with an exit growth rate of 25%+ in Q4 2026 [10][32] Company Strategy and Development Direction - The company is focusing on serving top DNEs and eliminating reasons for them to leave, which has turned into a growth engine [8][11] - The strategy includes building a vertically integrated Agentic Inference Cloud to support AI-native companies [18][22] - The company aims to achieve 30% revenue growth in 2027 while maintaining 20%+ unlevered adjusted free cash flow margins [49] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the growth trajectory, citing strong demand for the Agentic Inference Cloud [43][49] - The company anticipates near-term pressure on gross margin and adjusted EBITDA due to new capacity investments but remains disciplined [33][48] - Management highlighted the importance of balancing growth with financial discipline, emphasizing that growth and discipline are not trade-offs [33][50] Other Important Information - The company has strengthened its executive team by adding Vinay Kumar as Chief Product and Technology Officer [27] - The company is sunsetting a legacy dedicated bare metal CPU offering, expecting approximately $13 million of ARR to roll off by the end of Q1 2026 [42] Q&A Session Summary Question: Insights on the inference market evolution - Management noted that while major players like OpenAI and Anthropic dominate headlines, there is significant growth in open-source models, which are becoming increasingly important for managing unit economics [56][57] Question: Clarification on the weighted Rule of 50 numbers - Management explained that the weighted Rule of 50 is calculated by multiplying revenue growth by 1.5 and adding 0.5 times the free cash flow margin, indicating a strong growth opportunity while maintaining financial discipline [61][62] Question: Dynamics of the inference cloud with open-source models - Management confirmed that they are extending day zero support for open-source models and are working on intelligent routing algorithms to optimize model usage [65][68] Question: Revenue efficiency for AI per megawatt - Management indicated that they expect to deliver materially higher ARR per megawatt than competitors, with projections of around $20 million per megawatt as AI investments grow [70][72] Question: Confirmation on incremental capacity and revenue growth - Management confirmed that the incremental 31 MW capacity will come online by the end of 2026, supporting a revenue growth rate of 25%+ in Q4 2026 and 30% growth in 2027 [75]