Datadog (DDOG) Revenue (2018 - 2026)
Datadog's Revenue came in at $1.12 billion for Q2 2026, up 35.6% from $826.76 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Datadog (DDOG) Revenue (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datadog reported Revenue of $3.97 billion, up 31.5% year-over-year; for FY2025, it was $3.43 billion, up 27.7% from FY2024.
- Revenue has increased in each of the last eight years, with a five-year compound annual growth rate of 41.5% (FY2020 to FY2025).
- Going back by year, Revenue was $2.68 billion in FY2024 (+26.1%), $2.13 billion in FY2023 (+27.1%), $1.68 billion in FY2022 (+62.8%) and $1.03 billion in FY2021 (+70.5%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q3 2018.
- Year-over-year, Revenue has increased for 24 consecutive quarters, with growth averaging 28.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 24.6% in Q1 2025 to 83.7% in Q4 2021.
- Business Quant data shows DDOG's Revenue at $1.01 billion (Q1 2026), $953.19 million (Q4 2025) and $885.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 904.39 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 771.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 805.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 4.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 953.19 Mn |
| Sep 30, 2025 | 885.65 Mn |
| Jun 30, 2025 | 826.76 Mn |
| Mar 31, 2025 | 761.55 Mn |
| Dec 31, 2024 | 737.73 Mn |
| Sep 30, 2024 | 690.02 Mn |
| Jun 30, 2024 | 645.28 Mn |
| Mar 31, 2024 | 611.25 Mn |
| Dec 31, 2023 | 589.65 Mn |
| Sep 30, 2023 | 547.54 Mn |
| Jun 30, 2023 | 509.46 Mn |
| Mar 31, 2023 | 481.71 Mn |
| Dec 31, 2022 | 469.40 Mn |
| Sep 30, 2022 | 436.53 Mn |
| Jun 30, 2022 | 406.14 Mn |
| Mar 31, 2022 | 363.03 Mn |
| Dec 31, 2021 | 326.20 Mn |
| Sep 30, 2021 | 270.49 Mn |
API Access
Datadog Revenue 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=revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();