DigitalOcean Holdings (DOCN) Research & Development (2020 - 2026)
DigitalOcean Holdings (DOCN) posted Research & Development of $57.52 million for Q2 2026, up 45.1% from $39.64 million a year earlier and up 17.8% from the prior quarter.
DigitalOcean Holdings (DOCN) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at DigitalOcean Holdings was $188.73 million, up 21.1% year-over-year; for FY2025, it was $161.62 million, up 13.4% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, DigitalOcean Holdings' Research & Development was $142.5 million in FY2024 (+4.1%), $136.92 million in FY2023 (-4.8%), $143.89 million in FY2022 (+24.4%) and $115.68 million in FY2021 (+54.3%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q1 2020.
- On a year-over-year basis, Research & Development has increased in each of the last eight quarters, with growth averaging 21.6% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 75.4%; the weakest was Q4 2023, with a decline of 24.0%.
- According to Business Quant data, Research & Development for the three prior quarters was $48.83 million (Q1 2026), $44.26 million (Q4 2025) and $38.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 10.00 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 2.31 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 159.49 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | - |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 191.00 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 27.50 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 205.05 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 148.82 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 57.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.52 Mn |
| Mar 31, 2026 | 48.83 Mn |
| Dec 31, 2025 | 44.26 Mn |
| Sep 30, 2025 | 38.12 Mn |
| Jun 30, 2025 | 39.64 Mn |
| Mar 31, 2025 | 39.59 Mn |
| Dec 31, 2024 | 40.31 Mn |
| Sep 30, 2024 | 36.28 Mn |
| Jun 30, 2024 | 32.98 Mn |
| Mar 31, 2024 | 32.93 Mn |
| Dec 31, 2023 | 29.98 Mn |
| Sep 30, 2023 | 31.73 Mn |
| Jun 30, 2023 | 37.70 Mn |
| Mar 31, 2023 | 37.51 Mn |
| Dec 31, 2022 | 39.45 Mn |
| Sep 30, 2022 | 30.24 Mn |
| Jun 30, 2022 | 36.96 Mn |
| Mar 31, 2022 | 37.24 Mn |
| Dec 31, 2021 | 36.23 Mn |
| Sep 30, 2021 | 29.93 Mn |
DigitalOcean Holdings Research & Development 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=research-and-development&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();