DigitalOcean Holdings (DOCN) Accumulated Expenses (2020 - 2026)
DigitalOcean Holdings (DOCN) reported Accumulated Expenses of $70.88 million for Q2 2026, up 103.9% from $34.76 million a year earlier and up 25.4% from the prior quarter.
Powered by 
Analysis
DigitalOcean Holdings (DOCN) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, DigitalOcean Holdings posted Accumulated Expenses of $42.68 million, up 11.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $38.16 million in FY2024 (+22.9%), $31.05 million in FY2023 (-8.7%), $33.99 million in FY2022 (+6.5%) and $31.91 million in FY2021 (+18.1%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 36.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2026 (growth of 103.9%); the low point was Q2 2025 (a decline of 37.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $56.53 million (Q1 2026), $42.68 million (Q4 2025) and $46.6 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 | 70.88 Mn |
| Mar 31, 2026 | 56.53 Mn |
| Dec 31, 2025 | 42.68 Mn |
| Sep 30, 2025 | 46.60 Mn |
| Jun 30, 2025 | 34.76 Mn |
| Mar 31, 2025 | 42.79 Mn |
| Dec 31, 2024 | 38.16 Mn |
| Sep 30, 2024 | 28.07 Mn |
| Jun 30, 2024 | 55.84 Mn |
| Mar 31, 2024 | 24.40 Mn |
| Dec 31, 2023 | 31.05 Mn |
| Sep 30, 2023 | 24.78 Mn |
| Jun 30, 2023 | 27.89 Mn |
| Mar 31, 2023 | 38.22 Mn |
| Dec 31, 2022 | 33.99 Mn |
| Sep 30, 2022 | 36.65 Mn |
| Jun 30, 2022 | 39.02 Mn |
| Mar 31, 2022 | 25.63 Mn |
| Dec 31, 2021 | 31.91 Mn |
| Sep 30, 2021 | 28.41 Mn |
API Access
DigitalOcean Holdings 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=accumulated-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();