DigitalOcean Holdings (DOCN) Total Liabilities (2020 - 2026)
DigitalOcean Holdings (DOCN) posted Total Liabilities of $2.19 billion for Q2 2026, up 15.7% from $1.9 billion a year earlier and up 30.3% from the prior quarter.
DigitalOcean Holdings (DOCN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, DigitalOcean Holdings' Total Liabilities came in at $1.87 billion, up 1.3% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In prior years, DigitalOcean Holdings' Total Liabilities was $1.84 billion in FY2024 (+3.8%), $1.77 billion in FY2023 (+0.4%), $1.77 billion in FY2022 (+16.1%) and $1.52 billion in FY2021 (+203.1%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 203.1%; the weakest was Q1 2026, with a decline of 9.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.68 billion (Q1 2026), $1.87 billion (Q4 2025) and $1.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 4.37 Bn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 10.32 Bn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 2.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Bn |
| Mar 31, 2026 | 1.68 Bn |
| Dec 31, 2025 | 1.87 Bn |
| Sep 30, 2025 | 1.80 Bn |
| Jun 30, 2025 | 1.90 Bn |
| Mar 31, 2025 | 1.85 Bn |
| Dec 31, 2024 | 1.84 Bn |
| Sep 30, 2024 | 1.74 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | 1.77 Bn |
| Dec 31, 2023 | 1.77 Bn |
| Sep 30, 2023 | 1.78 Bn |
| Jun 30, 2023 | 1.77 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.77 Bn |
| Sep 30, 2022 | 1.60 Bn |
| Jun 30, 2022 | 1.54 Bn |
| Mar 31, 2022 | 1.53 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Sep 30, 2021 | 59.39 Mn |
DigitalOcean Holdings Total Liabilities 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=total-liabilities&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();