Datadog (DDOG) Enterprise Value (2019 - 2026)
Datadog's Enterprise Value was $88.47 billion in Q2 2026, up 106.1% from $42.92 billion a year earlier and up 137.5% from the prior quarter.
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Analysis
Datadog (DDOG) Enterprise Value (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Enterprise Value was $75.1 billion through Jun 30, 2026, up 141.6% year-over-year; for FY2025, it came in at $43.47 billion, down 2.8% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $44.7 billion in FY2024 (+18.9%), $37.6 billion in FY2023 (+74.3%), $21.58 billion in FY2022 (-80.4%) and $110.07 billion in FY2021 (+86.5%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value since Q4 2021.
- Compared with a year earlier, Enterprise Value was higher in six of the last eight quarters, with growth averaging 23.5%.
- The best year-over-year quarter for Enterprise Value over five years was Q2 2026 (growth of 106.1%); the worst was Q4 2022 (a decline of 80.4%).
- Per Business Quant data, DDOG's Enterprise Value in the three quarters before Q2 2026 was $37.25 billion (Q1 2026), $43.47 billion (Q4 2025) and $45.78 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.47 Bn |
| Mar 31, 2026 | 37.25 Bn |
| Dec 31, 2025 | 43.47 Bn |
| Sep 30, 2025 | 45.78 Bn |
| Jun 30, 2025 | 42.92 Bn |
| Mar 31, 2025 | 29.77 Bn |
| Dec 31, 2024 | 44.70 Bn |
| Sep 30, 2024 | 35.84 Bn |
| Jun 30, 2024 | 40.72 Bn |
| Mar 31, 2024 | 38.50 Bn |
| Dec 31, 2023 | 37.60 Bn |
| Sep 30, 2023 | 27.56 Bn |
| Jun 30, 2023 | 29.75 Bn |
| Mar 31, 2023 | 21.34 Bn |
| Dec 31, 2022 | 21.58 Bn |
| Sep 30, 2022 | 26.42 Bn |
| Jun 30, 2022 | 28.43 Bn |
| Mar 31, 2022 | 46.03 Bn |
| Dec 31, 2021 | 110.07 Bn |
| Sep 30, 2021 | 42.62 Bn |
API Access
Datadog Enterprise Value 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=enterprise-value&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();