DigitalOcean Holdings (DOCN) Change in Accured Expenses (2020 - 2026)
DigitalOcean Holdings' Change in Accured Expenses came in at $17.72 million for Q2 2026, up 109.4% from $8.46 million a year earlier.
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Analysis
DigitalOcean Holdings (DOCN) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DigitalOcean Holdings reported Change in Accured Expenses of $21.85 million, up 171.4% year-over-year; for FY2025, it came in at $12.28 million, up 65.5% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 38.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $7.42 million in FY2024, -$11.08 million in FY2023, $5.5 million in FY2022 (-41.7%) and $9.44 million in FY2021 (+296.1%).
- The Q2 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2020.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 49.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2021 (growth of 248.8%), and the weakest in Q3 2021 (a decline of 91.8%).
- Business Quant data shows DOCN's Change in Accured Expenses at -$11.19 million (Q1 2026), $12.26 million (Q4 2025) and $3.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 39.19 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | -18.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 23.10 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | -656.00 Mn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | -15.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 97.90 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 26.94 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn | 17.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.72 Mn |
| Mar 31, 2026 | -11.19 Mn |
| Dec 31, 2025 | 12.26 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | 8.46 Mn |
| Mar 31, 2025 | -11.49 Mn |
| Dec 31, 2024 | 6.29 Mn |
| Sep 30, 2024 | 4.79 Mn |
| Jun 30, 2024 | -395,000.00 |
| Mar 31, 2024 | -3.26 Mn |
| Dec 31, 2023 | 4.79 Mn |
| Sep 30, 2023 | -970,000.00 |
| Jun 30, 2023 | -3.87 Mn |
| Mar 31, 2023 | -11.03 Mn |
| Dec 31, 2022 | 9.78 Mn |
| Sep 30, 2022 | -4.37 Mn |
| Jun 30, 2022 | 10.54 Mn |
| Mar 31, 2022 | -10.46 Mn |
| Dec 31, 2021 | 5.44 Mn |
| Sep 30, 2021 | 234,000.00 |
API Access
DigitalOcean Holdings Change in Accured Expenses 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=change-in-accured-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();