Datadog (DDOG) Consolidated Net Income (2018 - 2026)
Datadog (DDOG) posted Consolidated Net Income of $118.28 million for Q3 2026, up 249.2% from $33.87 million a year earlier and up 165.6% from the prior quarter.
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Analysis
Datadog (DDOG) Consolidated Net Income (2018 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Consolidated Net Income at Datadog was $261.91 million, up 145.4% year-over-year; for FY2025, it was $107.72 million, down 41.4% from FY2024.
- In prior years, Datadog's Consolidated Net Income was $183.75 million in FY2024 (+278.3%), $48.57 million in FY2023, -$50.17 million in FY2022 and -$20.75 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Consolidated Net Income in data going back to Q3 2018.
- On a year-over-year basis, Consolidated Net Income increased in three of the last seven quarters, with growth averaging 25.5%.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q3 2026, with growth of 249.2%; the weakest was Q2 2025, with a decline of 94.0%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $44.53 million (Q2 2026), $52.53 million (Q1 2026) and $46.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (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 | 118.28 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | -3.34 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 | 118.28 Mn |
| Jun 30, 2026 | 44.53 Mn |
| Mar 31, 2026 | 52.53 Mn |
| Dec 31, 2025 | 46.57 Mn |
| Sep 30, 2025 | 33.87 Mn |
| Jun 30, 2025 | 2.65 Mn |
| Mar 31, 2025 | 24.60 Mn |
| Dec 31, 2024 | 45.63 Mn |
| Sep 30, 2024 | 51.70 Mn |
| Jun 30, 2024 | 43.79 Mn |
| Mar 31, 2024 | 42.59 Mn |
| Dec 31, 2023 | 53.99 Mn |
| Sep 30, 2023 | 22.60 Mn |
| Jun 30, 2023 | -4.01 Mn |
| Mar 31, 2023 | -24.12 Mn |
| Dec 31, 2022 | -29.04 Mn |
| Sep 30, 2022 | -25.99 Mn |
| Jun 30, 2022 | -4.91 Mn |
| Mar 31, 2022 | 9.74 Mn |
| Dec 31, 2021 | 7.17 Mn |
API Access
Datadog Consolidated 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=consolidated-net-income&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();