DigitalOcean Holdings (DOCN) Depreciation and Depletion (2020 - 2026)
DigitalOcean Holdings (DOCN) posted Depreciation and Depletion of $42.22 million for Q2 2026, up 65.0% from $25.59 million a year earlier and up 14.1% from the prior quarter.
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Analysis
DigitalOcean Holdings (DOCN) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at DigitalOcean Holdings was $139.13 million, up 44.3% year-over-year; for FY2025, it came in at $107.26 million, up 7.6% from FY2024.
- Annual Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, DigitalOcean Holdings' Depreciation and Depletion was $99.7 million in FY2024 (+10.2%), $90.47 million in FY2023 (+7.9%), $83.81 million in FY2022 (+12.8%) and $74.28 million in FY2021 (+19.8%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2020.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last three quarters, with growth averaging 23.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2026, with growth of 70.1%; the weakest was Q4 2024, with a decline of 13.2%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $37 million (Q1 2026), $31.85 million (Q4 2025) and $28.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | DigitalOcean Holdings | 10.45 Bn | 8.45 Bn | 154.66 Mn | 42.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.22 Mn |
| Mar 31, 2026 | 37.00 Mn |
| Dec 31, 2025 | 31.85 Mn |
| Sep 30, 2025 | 28.06 Mn |
| Jun 30, 2025 | 25.59 Mn |
| Mar 31, 2025 | 21.76 Mn |
| Dec 31, 2024 | 20.41 Mn |
| Sep 30, 2024 | 28.68 Mn |
| Jun 30, 2024 | 25.98 Mn |
| Mar 31, 2024 | 24.64 Mn |
| Dec 31, 2023 | 23.51 Mn |
| Sep 30, 2023 | 22.91 Mn |
| Jun 30, 2023 | 21.67 Mn |
| Mar 31, 2023 | 22.37 Mn |
| Dec 31, 2022 | 21.81 Mn |
| Sep 30, 2022 | 20.98 Mn |
| Jun 30, 2022 | 20.70 Mn |
| Mar 31, 2022 | 20.33 Mn |
| Dec 31, 2021 | 19.92 Mn |
| Sep 30, 2021 | 18.97 Mn |
API Access
DigitalOcean Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();