Datadog (DDOG) Tax Provisions (2018 - 2026)
Datadog (DDOG) reported Tax Provisions of $7.2 million for Q2 2026, up 109.2% from $3.44 million a year earlier and up 12.5% from the prior quarter.
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Analysis
Datadog (DDOG) Tax Provisions (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datadog's Tax Provisions came in at $22.3 million, down 4.2% year-over-year; for FY2025, it was $19.3 million, down 4.4% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 52.7% (FY2020 to FY2025).
- By year, Tax Provisions came in at $20.19 million in FY2024 (+73.1%), $11.67 million in FY2023 (-3.6%), $12.1 million in FY2022 (+420.9%) and $2.32 million in FY2021 (-0.1%).
- Five-year quarterly Tax Provisions spans a low of $717,000 in Q3 2021 and a high of $8.19 million in Q4 2024.
- Year over year, Tax Provisions gained in four of the last eight quarters, with growth averaging 52.5%.
- The high point for year-over-year Tax Provisions in five years was Q3 2022 (growth of 308.1%); the low point was Q3 2025 (a decline of 59.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.4 million (Q1 2026), $6.9 million (Q4 2025) and $1.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.26 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 5.01 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 10.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 147.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.20 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 6.90 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | 7.20 Mn |
| Dec 31, 2024 | 8.19 Mn |
| Sep 30, 2024 | 4.44 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 3.70 Mn |
| Dec 31, 2022 | 3.19 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 4.90 Mn |
| Mar 31, 2022 | 1.12 Mn |
| Dec 31, 2021 | 1.36 Mn |
| Sep 30, 2021 | 717,000.00 |
API Access
Datadog Tax Provisions 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=tax-provisions&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();