Datadog (DDOG) Income Taxes Paid (2018 - 2026)
Datadog (DDOG) reported Income Taxes Paid of $2.07 million for Q3 2026, down 48.6% from $4.02 million a year earlier and down 68.0% from the prior quarter.
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Analysis
Datadog (DDOG) Income Taxes Paid (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Datadog's Income Taxes Paid came in at $28.03 million, up 36.7% year-over-year; for FY2025, it came in at $17.65 million, down 15.9% from FY2024.
- Income Taxes Paid has a five-year compound annual growth rate of 112.2% (FY2020 to FY2025).
- By year, Income Taxes Paid came in at $20.99 million in FY2024 (+27.2%), $16.51 million in FY2023 (+934.8%), $1.6 million in FY2022 (+7.3%) and $1.49 million in FY2021 (+262.4%).
- The Q3 2026 figure ranks as the lowest quarterly Income Taxes Paid since Q3 2024.
- Year over year, Income Taxes Paid gained in three of the last eight quarters, with growth averaging 79.0%.
- The high point for year-over-year Income Taxes Paid in five years was Q1 2023 (growth of 791.4%); the low point was Q2 2022 (a decline of 78.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $6.47 million (Q2 2026), $17.17 million (Q1 2026) and $2.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 12.91 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | - |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 109.00 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 2.07 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 17.98 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | - |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 5.83 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 2.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.07 Mn |
| Jun 30, 2026 | 6.47 Mn |
| Mar 31, 2026 | 17.17 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 4.02 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 3.66 Mn |
| Dec 31, 2024 | 5.18 Mn |
| Sep 30, 2024 | 989,000.00 |
| Jun 30, 2024 | 10.18 Mn |
| Mar 31, 2024 | 4.65 Mn |
| Dec 31, 2023 | 2.34 Mn |
| Sep 30, 2023 | 3.49 Mn |
| Jun 30, 2023 | 7.66 Mn |
| Mar 31, 2023 | 3.02 Mn |
| Dec 31, 2022 | 513,000.00 |
| Sep 30, 2022 | 696,000.00 |
| Jun 30, 2022 | 47,000.00 |
| Mar 31, 2022 | 339,000.00 |
| Dec 31, 2021 | 547,000.00 |
API Access
Datadog 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=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "DDOG", "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=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();