DigitalOcean Holdings (DOCN) Long-Term Debt Repayments (2020 - 2026)
DigitalOcean Holdings' Long-Term Debt Repayments came in at $18.24 million for Q3 2026, compared with $1.42 million a year earlier and up 55.0% from the prior quarter.
DigitalOcean Holdings (DOCN) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, DigitalOcean Holdings reported Long-Term Debt Repayments of $544.04 million; for FY2025, it came in at $8.3 million, up 51.6% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -45.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $5.48 million in FY2024 (+142.3%), $2.26 million in FY2023 and $263.35 million in FY2021 (+49.6%).
- The five-year range for quarterly Long-Term Debt Repayments is $125,000 (Q4 2021) to $509.88 million (Q1 2026).
- Year-over-year, Long-Term Debt Repayments increased in five of the last six quarters, with growth averaging 160.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2026 (growth of 751.1%), and the weakest in Q4 2021 (a decline of 98.8%).
- Business Quant data shows DOCN's Long-Term Debt Repayments at $11.77 million (Q2 2026), $509.88 million (Q1 2026) and $4.14 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 4.85 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 120.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 44.00 Mn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | - |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | - |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 550.00 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 3.88 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | - |
| 10 | DigitalOcean Holdings | 8.28 Bn | 5.85 Bn | 161.07 Mn | 18.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.24 Mn |
| Jun 30, 2026 | 11.77 Mn |
| Mar 31, 2026 | 509.88 Mn |
| Dec 31, 2025 | 4.14 Mn |
| Sep 30, 2025 | 1.42 Mn |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 1.38 Mn |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 1.36 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 947,000.00 |
| Dec 31, 2021 | 125,000.00 |
| Mar 31, 2021 | 263.23 Mn |
| Dec 31, 2020 | 10.02 Mn |
| Sep 30, 2020 | 4.13 Mn |
| Jun 30, 2020 | 3.51 Mn |
| Mar 31, 2020 | 158.35 Mn |
DigitalOcean Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();