DigitalOcean Holdings (DOCN) EBITDA (2020 - 2026)
DigitalOcean Holdings (DOCN) posted EBITDA of $80.53 million for Q2 2026, up 17.8% from $68.38 million a year earlier but down 1.9% from the prior quarter.
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Analysis
DigitalOcean Holdings (DOCN) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at DigitalOcean Holdings was $321.77 million, up 25.0% year-over-year; for FY2025, it was $294.44 million, up 33.2% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- In prior years, DigitalOcean Holdings' EBITDA was $221.06 million in FY2024 (+70.4%), $129.76 million in FY2023 (+69.5%), $76.54 million in FY2022 (-0.8%) and $77.19 million in FY2021 (+29.1%).
- Quarterly EBITDA has run from a low of -$4.14 million in Q1 2023 to a high of $82.05 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last seven quarters, with growth averaging 27.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2023, with growth of 146.2%; the weakest was Q1 2022, with a decline of 57.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $82.05 million (Q1 2026), $79.21 million (Q4 2025) and $79.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 51.63 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 3.96 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | -107.83 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 1.22 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 83.80 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 1.34 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 302.90 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 87.05 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 265.82 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 80.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.53 Mn |
| Mar 31, 2026 | 82.05 Mn |
| Dec 31, 2025 | 79.21 Mn |
| Sep 30, 2025 | 79.99 Mn |
| Jun 30, 2025 | 68.38 Mn |
| Mar 31, 2025 | 66.85 Mn |
| Dec 31, 2024 | 61.76 Mn |
| Sep 30, 2024 | 60.42 Mn |
| Jun 30, 2024 | 55.46 Mn |
| Mar 31, 2024 | 43.43 Mn |
| Dec 31, 2023 | 41.77 Mn |
| Sep 30, 2023 | 66.02 Mn |
| Jun 30, 2023 | 26.12 Mn |
| Mar 31, 2023 | -4.14 Mn |
| Dec 31, 2022 | 16.97 Mn |
| Sep 30, 2022 | 32.82 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 10.35 Mn |
| Dec 31, 2021 | 13.31 Mn |
| Sep 30, 2021 | 20.71 Mn |
API Access
DigitalOcean Holdings EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "DOCN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();