DigitalOcean Holdings (DOCN) Total Non-Current Liabilities (2020 - 2026)
DigitalOcean Holdings (DOCN) recorded Total Non-Current Liabilities of $2.19 billion in Q2 2026, up 15.6% from $1.89 billion a year earlier and up 30.5% from the prior quarter.
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Analysis
DigitalOcean Holdings (DOCN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, DigitalOcean Holdings reported Total Non-Current Liabilities of $1.86 billion, up 1.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.84 billion in FY2024 (+4.4%), $1.77 billion in FY2023 (+0.1%), $1.76 billion in FY2022 (+16.0%) and $1.52 billion in FY2021 (+204.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last seven quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 204.1% in Q4 2021, against a decline of 9.3% in Q1 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 250.87 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 107.51 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 4.83 Bn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 25.68 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 15.23 Bn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 71.68 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 2.16 Bn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 4.34 Bn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 10.17 Bn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 2.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.19 Bn |
| Mar 31, 2026 | 1.68 Bn |
| Dec 31, 2025 | 1.86 Bn |
| Jun 30, 2025 | 1.89 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 | 1.77 Bn |
| Jun 30, 2023 | 1.76 Bn |
| Mar 31, 2023 | 1.78 Bn |
| Dec 31, 2022 | 1.76 Bn |
| Sep 30, 2022 | 1.59 Bn |
| Jun 30, 2022 | 1.54 Bn |
| Mar 31, 2022 | 1.53 Bn |
| Dec 31, 2021 | 1.52 Bn |
| Sep 30, 2021 | 57.78 Mn |
| Jun 30, 2021 | 55.59 Mn |
API Access
DigitalOcean Holdings Total Non-Current 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-non-current-liabilities&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();