DigitalOcean Holdings (DOCN) Revenue (2020 - 2026)
DigitalOcean Holdings (DOCN) recorded Revenue of $281.18 million in Q2 2026, up 28.6% from $218.7 million a year earlier and up 9.0% from the prior quarter.
DigitalOcean Holdings (DOCN) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, DigitalOcean Holdings' Revenue came in at $1.01 billion as of Jun 30, 2026, up 21.4% year-over-year; for FY2025, it came in at $901.43 million, up 15.5% from FY2024.
- Annual Revenue has increased for six straight years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $780.62 million in FY2024 (+12.7%), $692.88 million in FY2023 (+20.2%), $576.32 million in FY2022 (+34.5%) and $428.56 million in FY2021 (+34.6%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q1 2020.
- On a year-over-year basis, Revenue has increased for 22 consecutive quarters, with growth averaging 17.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 11.0% (Q4 2023) to 37.3% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at $257.91 million (Q1 2026), $242.39 million (Q4 2025) and $229.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 90.01 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 17.16 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 696.06 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 2.63 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 582.30 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 2.58 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 434.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 757.08 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 1.10 Bn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 281.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.18 Mn |
| Mar 31, 2026 | 257.91 Mn |
| Dec 31, 2025 | 242.39 Mn |
| Sep 30, 2025 | 229.63 Mn |
| Jun 30, 2025 | 218.70 Mn |
| Mar 31, 2025 | 210.70 Mn |
| Dec 31, 2024 | 204.93 Mn |
| Sep 30, 2024 | 198.48 Mn |
| Jun 30, 2024 | 192.48 Mn |
| Mar 31, 2024 | 184.73 Mn |
| Dec 31, 2023 | 180.87 Mn |
| Sep 30, 2023 | 177.06 Mn |
| Jun 30, 2023 | 169.81 Mn |
| Mar 31, 2023 | 165.13 Mn |
| Dec 31, 2022 | 163.00 Mn |
| Sep 30, 2022 | 152.12 Mn |
| Jun 30, 2022 | 133.88 Mn |
| Mar 31, 2022 | 127.33 Mn |
| Dec 31, 2021 | 119.66 Mn |
| Sep 30, 2021 | 111.43 Mn |
DigitalOcean Holdings Revenue 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=revenue&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();