DigitalOcean Holdings (DOCN) Cash & Equivalents (2020 - 2026)
DigitalOcean Holdings' Cash & Equivalents was $767.03 million in Q2 2026, up 97.8% from $387.75 million a year earlier and up 3.5% from the prior quarter.
DigitalOcean Holdings (DOCN) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at DigitalOcean Holdings came in at $254.48 million, down 40.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $428.45 million in FY2024 (+35.1%), $317.24 million in FY2023 (+125.4%), $140.77 million in FY2022 (-91.8%) and $1.71 billion in FY2021.
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2021.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 72.4%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2024 (growth of 454.3%); the worst was Q3 2022 (a decline of 95.9%).
- Per Business Quant data, DOCN's Cash & Equivalents in the three quarters before Q2 2026 was $741.36 million (Q1 2026), $254.48 million (Q4 2025) and $236.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 20.94 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 7.17 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 1.66 Bn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 979.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 8.04 Bn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 5.52 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 840.90 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 777.31 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 1.48 Bn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 767.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 767.03 Mn |
| Mar 31, 2026 | 741.36 Mn |
| Dec 31, 2025 | 254.48 Mn |
| Sep 30, 2025 | 236.56 Mn |
| Jun 30, 2025 | 387.75 Mn |
| Mar 31, 2025 | 360.42 Mn |
| Dec 31, 2024 | 428.45 Mn |
| Sep 30, 2024 | 439.87 Mn |
| Jun 30, 2024 | 443.11 Mn |
| Mar 31, 2024 | 419.06 Mn |
| Dec 31, 2023 | 317.24 Mn |
| Sep 30, 2023 | 79.36 Mn |
| Jun 30, 2023 | 120.05 Mn |
| Mar 31, 2023 | 20.87 Mn |
| Dec 31, 2022 | 140.77 Mn |
| Sep 30, 2022 | 24.12 Mn |
| Jun 30, 2022 | 72.18 Mn |
| Mar 31, 2022 | 464.84 Mn |
| Dec 31, 2021 | 1.71 Bn |
| Sep 30, 2021 | 589.75 Mn |
DigitalOcean Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();