DigitalOcean Holdings, Inc. (DOCN) Q4 2025 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call summary and Q&A indicate strong revenue growth, robust demand from AI-native customers, and innovative product development. Despite near-term margin compression due to capacity expansion, the company projects strong EBITDA and cash flow margins. The leasing model for GPUs ensures immediate cash generation, and the company's strategic focus on open-source models enhances competitiveness. The raised revenue guidance and commitment to capacity investments further support a positive outlook. Given the market cap, this should lead to a stock price increase of 2% to 8% over the next two weeks.
Key Financial Performance
Revenue Growth 18% year-over-year growth in Q4, reaching $901 million for the full year. Reasons for growth include strong performance from top customers and increased demand for AI and cloud-native services.
Incremental Organic ARR $51 million in Q4, the highest in the company's history. This growth was driven by strong performance from top digital native customers (DNEs) and AI-native companies.
$1 Million Customers ARR $133 million, growing at 123% year-over-year. Growth attributed to scaling top customers and increased adoption of DigitalOcean's platform by AI and cloud-native companies.
Adjusted EBITDA Margins 42% for the year. This reflects strong financial discipline and profitability.
Adjusted Free Cash Flow Margins 19% for the year. Indicates efficient cash flow management and profitability.
AI Customer ARR $120 million in Q4, growing 150% year-over-year. Growth driven by increased adoption of AI products and services, with 70% of revenue coming from inference services or general-purpose cloud products.
Gross Profit $142 million in Q4, up 13% year-over-year, with a gross margin of 59%. Full year gross profit was $540 million, up 16% year-over-year, with a gross margin of 60%. Growth attributed to increased revenue and operational efficiency.
Adjusted EBITDA $99 million in Q4, with an adjusted EBITDA margin of 41%. Full year adjusted EBITDA was $375 million, a 42% adjusted EBITDA margin. Reflects strong profitability and operational efficiency.
Trailing 12-Month Adjusted Free Cash Flow $168 million in Q4, or 19% of revenue. Indicates strong cash flow generation and financial health.
Non-GAAP Diluted Net Income Per Share $0.44 in Q4 and $2.12 for the full year, a 10% year-over-year increase. Growth driven by increased revenue and profitability.
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Operating Highlights
Agentic Inference Cloud: DigitalOcean has evolved its Agentic Inference Cloud to combine specialized inference infrastructure with a full-stack cloud platform, purpose-built for production AI. This includes GPU-backed inference, managed databases, and observability tools.
AI-centric software: DigitalOcean is emerging as a preferred platform for AI-native companies, offering tools for building and scaling AI-centric software. Examples include partnerships with companies like character.ai and Hippocratic AI.
OpenClaw integration: DigitalOcean supports OpenClaw, an open-source AI agent framework, with preconfigured GPU droplets and managed serverless platforms, enabling rapid deployment and scaling.
AI customer ARR: AI customer ARR reached $120 million in Q4 2025, growing 150% year-over-year, now making up 12% of total ARR.
Top customer growth: ARR from Digital Native Enterprises (DNEs) reached $604 million in Q4, growing 30% year-over-year. $1 million customers grew 123% year-over-year.
Revenue growth: DigitalOcean achieved 18% revenue growth in Q4 2025, with full-year revenue of $901 million. The company projects 21% revenue growth in 2026 and 30% growth in 2027.
Profitability: Maintained 42% adjusted EBITDA margins and 19% adjusted free cash flow margins for 2025.
Data center expansion: Committed to 31 megawatts of incremental data center capacity in 2026 to support growth.
Focus on AI and cloud-native companies: Shifted focus to serving top Digital Native Enterprises (DNEs) and AI-native companies, making them the primary growth engine.
Discontinuation of legacy products: Sunsetting a small legacy dedicated bare metal CPU offering to concentrate on key growth levers.
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Risk or Challenges
Regulatory Compliance: The company must ensure compliance with HIPAA and other enterprise-grade security and compliance standards, especially for healthcare-focused AI workloads. Non-compliance could lead to legal and financial repercussions.
Supply Chain and Capacity Constraints: The company faces risks related to the timing and availability of GPU and data center capacity. Delays in bringing new capacity online could impact revenue growth and customer satisfaction.
Economic and Financial Discipline: The company is making significant investments in data centers and GPU capacity, which could lead to short-term financial pressure, including increased net leverage and reduced gross margins.
Competitive Pressures: The competitive landscape includes hyperscalers, neo-clouds, and inference wrapper providers. These competitors may offer overlapping services, potentially impacting DigitalOcean's market share and pricing power.
Customer Concentration Risk: While the top 25 customers represent only 10% of revenue, the rapid scaling of AI-native customers could lead to revenue concentration risks if a few large customers dominate revenue streams.
Technological Shifts: The shift from traditional software to AI-centric software requires continuous innovation. Failure to adapt to these technological changes could result in loss of market relevance.
Operational Risks: The company is sunsetting a legacy product, which will result in a $13 million ARR roll-off. This could impact short-term revenue and customer retention.
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Guidance & Outlook
Revenue Growth: DigitalOcean expects to deliver 21% revenue growth in 2026, with an exit growth rate of 25%+ by Q4 2026 and 30% growth in 2027.
AI Customer ARR: AI customer ARR reached $120 million in Q4 2025, growing 150% year-over-year, and now makes up 12% of total ARR. 70% of this comes from inference services or general-purpose cloud products.
Top Customer Growth: ARR from DigitalOcean's top digital native enterprises (DNEs) reached $604 million in Q4 2025, growing 30% year-over-year. $1 million customers are growing at 123% year-over-year.
Data Center Expansion: DigitalOcean is bringing 31 megawatts of new data center capacity online in 2026, with three new facilities starting to ramp revenue in Q2 and the second half of 2026.
Adjusted EBITDA Margins: For 2026, adjusted EBITDA margins are projected to be 36%-38%, with unlevered adjusted free cash flow margins of 18%-20%.
Long-Term Growth Outlook: DigitalOcean expects to reach 30% revenue growth in 2027 while maintaining 20%+ unlevered adjusted free cash flow margins, achieving a rule of 50+.
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Shareholder Return Plan
Dividend Program: No specific mention of a dividend program or any updates related to dividends were discussed in the transcript.
Share Repurchase Program: The company repurchased 2.4 million shares in 2025 for $82 million at an average price of approximately $35 per share. The full $100 million buyback authorization remains in place and continues through July 31, 2027. However, the company emphasized that its near-term capital allocation priorities are focused on organic growth and balance sheet flexibility rather than share repurchases.
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Key Q&A
Q:Can you talk about the customers you're seeing in the inference market and how broad it will be?
A:The CEO highlighted that while companies like OpenAI, Anthropic, and Google dominate headlines, many AI-native companies are adopting open-source models due to their cost-effectiveness (90% cheaper per token) and comparable accuracy. Open-source models currently serve 30% of traffic, and this share is expected to grow as real-world AI workloads expand. The open-source ecosystem is thriving, and companies are using a mix of open-source and closed-source models to balance unit economics.
Q:Can you elaborate on the weighted rule of 50 numbers and free cash flow margins for 2027?
A:The CFO explained that the weighted rule of 50 multiplies revenue growth by 1.5 and adds 0.5x the free cash flow margin, valuing revenue growth 3x more than free cash flow margin. The company projects 30% revenue growth and 20% unlevered free cash flow margins in 2027, reflecting strong growth opportunities and financial discipline.
Q:How are you thinking about quickly providing support for new open-source models and their impact on growth?
A:The CEO stated that the company provides Day 0 support for most open-source models, with a mix of manual and automated processes. Automation in this area is expected to grow. The proliferation of open-source models will aid in deploying AI-native software across markets. The company is working on intelligent routing algorithms to optimize the use of open-source and closed-source models for better unit economics.
Q:What insights can you share about revenue efficiency for a fully utilized megawatt in AI?
A:The CFO noted that while Neoclouds achieve $9-12 million in ARR per megawatt, DigitalOcean currently achieves $22 million, with AI accounting for less than 10% of ARR. As AI grows, this figure will drop slightly to around $20 million by 2027, but it will remain materially higher than Neoclouds due to the company's integrated AI cloud platform.
Q:Does the incremental 31 megawatts coming online by 2026 support 30% revenue growth in 2027?
A:Yes, the CFO confirmed that the incremental capacity will drive 25% revenue growth exiting 2026 and support 30% growth in 2027 as utilization increases.
Q:What are Vinay Kumar's top priorities as the new leader?
A:Vinay Kumar is focused on building out the inference cloud and enhancing core cloud capabilities. The company plans to announce next-generation inference cloud capabilities at its Deploy conference. Kumar is also working on innovations in core infrastructure, such as high-performance storage and scalable databases, which benefit both AI-native and cloud-native companies.
Q:What gives you confidence in achieving 30% growth given the lack of long-term contracts?
A:The CEO emphasized robust demand exceeding current supply, visibility into customer needs, and the real-world nature of inference workloads. The company is ramping up capacity responsibly and has a strong pipeline of demand with responsible unit economics.
Q:What is the margin progression outlook given the capacity ramp?
A:The CFO stated that near-term margin compression is expected due to the capacity ramp, but margins will improve as utilization increases. The mix of AI services, which have lower margins than core cloud, will also impact margins, but the company projects strong adjusted EBITDA and free cash flow margins.
Q:How does DigitalOcean plan to capture a higher share of wallet in AI inference compute?
A:The CEO highlighted the company's integrated cloud platform, which combines GPUs, CPUs, and other capabilities, as a key differentiator. The company is also focusing on the cost-effectiveness of open-source models, which are 90% cheaper than closed-source models. DigitalOcean's platform is designed to meet the needs of AI-native companies deploying real-world applications.
Q:What is the payback period for GPUs, and how is it changing?
A:The CFO explained that the company leases GPUs, aligning costs with revenue. This approach allows the company to generate cash within months of deploying GPUs, despite a nominal 3-year payback period. The leasing model ensures immediate cash generation and aligns investments with revenue growth.
Q:What are the missing pieces in DigitalOcean's AI technology compared to Neoclouds?
A:The CEO acknowledged that the AI market is evolving rapidly, and the company is continuously innovating to meet customer needs. The company plans to announce new capabilities at its Deploy conference and believes its lead in the inference cloud will continue to grow.
Q:Is DigitalOcean constrained by power and physical location availability?
A:The CFO stated that while demand exceeds supply, the company is making prudent investment decisions to ensure balanced growth. The company is focused on building a diverse customer base and maintaining strong returns on investment.
Q:What factors influence long-term capacity planning?
A:The CEO mentioned customer demand, geographic spread, and keeping up with generational advancements in GPU technology as key factors in capacity planning. The company evaluates these factors to align its long-term plans with customer needs and market dynamics.
Q:Does the 2027 EBITDA margin and free cash flow guidance include additional capacity investments?
A:No, the guidance is based solely on the 31 megawatts of capacity being added by 2026.
Q:How does DigitalOcean plan to address the competitive landscape in AI inference?
A:The CEO emphasized the company's focus on serving real-world inference workloads with an integrated cloud platform. The company is leveraging its expertise in open-source models and working closely with customers to innovate and meet their needs.
Q:What is the pricing dynamic in the current demand environment?
A:The CEO noted that pricing depends on GPU generation, cluster configuration, and other factors. While competition exists, the company is calibrating prices to reflect market dynamics and maintain strong unit economics.
Q:What is the overlap between $1 million-plus customers and AI-native exposure?
A:About half of the $1 million-plus customers are AI-native, with AI accounting for a slightly higher share of ARR. The company is seeing strong growth in AI customer revenue, which is expected to continue.
Q:What is the utilization of current capacity, and how does it support growth?
A:The CFO stated that the company is adding 31 megawatts to its existing 43-44 megawatts, reaching 75 megawatts by 2027. Utilization will increase as capacity ramps, supporting 30% revenue growth.
Q:What is the long-term outlook for capacity additions?
A:The CFO mentioned that while no additional capacity has been committed beyond the 31 megawatts, the company is evaluating opportunities to accelerate growth responsibly. Future capacity additions will depend on customer demand and market conditions.
Q:What is the payback period for GPUs under the leasing model?
A:The CFO reiterated that the leasing model allows the company to generate cash within months of deploying GPUs, aligning costs with revenue and ensuring strong returns.
Q:Review of Unclear Management Responses
A:Management avoided providing specific details on the long-term capacity additions beyond the 31 megawatts already committed. They also did not provide clarity on the exact pricing dynamics for AI-native customers or the specific innovations planned for the Deploy conference.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI company
AI model
AI native
AI software
Agentic Inference
DNE
DNEs
GPU form
GPU rental
Hippocratic AI
Inference Cloud
OpenClaw
Paddy
SBC
SLAs
center lease
cloud neo
customer ARR
disruption
disruptors
enterprise
inference APIs
inference market
milestone
momentum confidence
neo cloud
non income
note
production
scale
shift
software AI
source
training
transaction
unit economics
DOCN Transcript
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DigitalOcean Holdings, Inc. (DOCN) Q4 2025 Earnings Call Transcript
Positive2-24
The earnings call summary and Q&A indicate strong revenue growth, robust demand from AI-native customers, and innovative product development. Despite near-term margin compression due to capacity expansion, the company projects strong EBITDA and cash flow margins. The leasing model for GPUs ensures immediate cash generation, and the company's strategic focus on open-source models enhances competitiveness. The raised revenue guidance and commitment to capacity investments further support a positive outlook. Given the market cap, this should lead to a stock price increase of 2% to 8% over the next two weeks.
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Positive11-5
DigitalOcean's earnings call highlights strong financial performance with raised revenue and free cash flow guidance, improved gross margin, and significant growth in AI/ML revenue. The Q&A section reveals positive sentiment towards AI-driven growth and strategic focus on customer needs. Despite some uncertainties in CapEx and free cash flow specifics, the overall outlook is optimistic with durable revenue growth and attractive margins, suggesting a positive stock price movement.
DOCN Slides
DOCN Report
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