Datadog (DDOG) Net Income (2018 - 2026)
Datadog's Net Income was $118.32 million in Q3 2026, up 249.2% from $33.89 million a year earlier and up 165.5% from the prior quarter.
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Analysis
Datadog (DDOG) Net Income (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Net Income was $262.02 million through Sep 30, 2026, up 145.4% year-over-year; for FY2025, it came in at $107.74 million, down 41.4% from FY2024.
- In earlier years, Net Income was $183.75 million in FY2024 (+278.3%), $48.57 million in FY2023, -$50.16 million in FY2022 and -$20.75 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Net Income in data going back to Q3 2018.
- Compared with a year earlier, Net Income was higher in three of the last seven quarters, with growth averaging 25.5%.
- The best year-over-year quarter for Net Income over five years was Q3 2026 (growth of 249.2%); the worst was Q2 2025 (a decline of 94.0%).
- Per Business Quant data, DDOG's Net Income in the three quarters before Q3 2026 was $44.56 million (Q2 2026), $52.57 million (Q1 2026) and $46.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | -282.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 5.31 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | -191.72 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 635.50 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 118.32 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -3.37 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 116.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 29.43 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 40.94 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 183.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.32 Mn |
| Jun 30, 2026 | 44.56 Mn |
| Mar 31, 2026 | 52.57 Mn |
| Dec 31, 2025 | 46.57 Mn |
| Sep 30, 2025 | 33.89 Mn |
| Jun 30, 2025 | 2.65 Mn |
| Mar 31, 2025 | 24.64 Mn |
| Dec 31, 2024 | 45.59 Mn |
| Sep 30, 2024 | 51.70 Mn |
| Jun 30, 2024 | 43.82 Mn |
| Mar 31, 2024 | 42.63 Mn |
| Dec 31, 2023 | 53.99 Mn |
| Sep 30, 2023 | 22.63 Mn |
| Jun 30, 2023 | -3.97 Mn |
| Mar 31, 2023 | -24.09 Mn |
| Dec 31, 2022 | -29.03 Mn |
| Sep 30, 2022 | -25.99 Mn |
| Jun 30, 2022 | -4.88 Mn |
| Mar 31, 2022 | 9.74 Mn |
| Dec 31, 2021 | 7.17 Mn |
API Access
Datadog Net Income 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=net-income&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();