DigitalOcean Holdings (DOCN) Income Taxes Paid (2020 - 2026)
DigitalOcean Holdings (DOCN) recorded Income Taxes Paid of $865,000 in Q3 2026, compared with -$847,000 a year earlier and up 40.4% from the prior quarter.
Powered by 
Analysis
DigitalOcean Holdings (DOCN) Income Taxes Paid (2020 - 2026) Analysis & Trends
On a TTM basis, DigitalOcean Holdings' Income Taxes Paid came in at $4.76 million as of Sep 30, 2026, down 57.2% year-over-year; for FY2025, it was $6.28 million, down 68.1% from FY2024.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 59.7% (FY2020 to FY2025).
- Across earlier years, Income Taxes Paid came in at $19.67 million in FY2024 (+622.3%), $2.72 million in FY2023 (-40.4%), $4.57 million in FY2022 (+395.9%) and $921,000 in FY2021 (+52.2%).
- Quarterly Income Taxes Paid has ranged from -$847,000 in Q3 2025 to $7.98 million in Q2 2024 over the past five years.
- On a year-over-year basis, Income Taxes Paid rose in two of the last six quarters, with growth averaging 252.4%.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 990.3% in Q1 2026, against a decline of 89.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $616,000 (Q2 2026), $1.91 million (Q1 2026) and $1.37 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | - |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | - |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | - |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 2.41 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | - |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 70.00 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | - |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 4.30 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 2.80 Mn |
| 10 | DigitalOcean Holdings | 8.28 Bn | 5.85 Bn | 161.07 Mn | 865,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 865,000.00 |
| Jun 30, 2026 | 616,000.00 |
| Mar 31, 2026 | 1.91 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | -847,000.00 |
| Jun 30, 2025 | 5.58 Mn |
| Mar 31, 2025 | 175,000.00 |
| Dec 31, 2024 | 6.23 Mn |
| Sep 30, 2024 | 4.47 Mn |
| Jun 30, 2024 | 7.98 Mn |
| Mar 31, 2024 | 997,000.00 |
| Dec 31, 2023 | 689,000.00 |
| Sep 30, 2023 | 543,000.00 |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 393,000.00 |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 561,000.00 |
| Jun 30, 2022 | 105,000.00 |
| Mar 31, 2022 | 1.00 Mn |
| Dec 31, 2021 | 380,000.00 |
API Access
DigitalOcean Holdings Income Taxes Paid 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=income-taxes-paid&ticker=DOCN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();