DigitalOcean Holdings (DOCN) Other Accumulated Expenses (2020 - 2026)
DigitalOcean Holdings (DOCN) reported Other Accumulated Expenses of $74.14 million for Q2 2026, up 51.5% from $48.93 million a year earlier and up 2.8% from the prior quarter.
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Analysis
DigitalOcean Holdings (DOCN) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, DigitalOcean Holdings posted Other Accumulated Expenses of $67.51 million, up 55.2% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $43.5 million in FY2024 (-38.7%), $70.98 million in FY2023 (+49.7%), $47.41 million in FY2022 (+435.8%) and $8.85 million in FY2021 (-61.5%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q1 2020.
- Year over year, Other Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2022 (growth of 435.8%); the low point was Q4 2021 (a decline of 61.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $72.13 million (Q1 2026), $67.51 million (Q4 2025) and $53.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.14 Mn |
| Mar 31, 2026 | 72.13 Mn |
| Dec 31, 2025 | 67.51 Mn |
| Sep 30, 2025 | 53.28 Mn |
| Jun 30, 2025 | 48.93 Mn |
| Mar 31, 2025 | 47.56 Mn |
| Dec 31, 2024 | 43.50 Mn |
| Sep 30, 2024 | 61.31 Mn |
| Jun 30, 2024 | 74.05 Mn |
| Mar 31, 2024 | 73.32 Mn |
| Dec 31, 2023 | 70.98 Mn |
| Sep 30, 2023 | 63.99 Mn |
| Jun 30, 2023 | 53.14 Mn |
| Mar 31, 2023 | 43.20 Mn |
| Dec 31, 2022 | 47.41 Mn |
| Sep 30, 2022 | 44.93 Mn |
| Jun 30, 2022 | 12.71 Mn |
| Mar 31, 2022 | 15.25 Mn |
| Dec 31, 2021 | 8.85 Mn |
| Sep 30, 2021 | 11.34 Mn |
API Access
DigitalOcean Holdings Other Accumulated 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=other-accumulated-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();