Datadog (DDOG) Price to Earnings (2022 - 2026)
Datadog's (DDOG) Price to Earnings came in at 526.27 for Q2 2026, up 40.0% from 375.89 a year earlier and up 70.0% from the prior quarter.
Powered by 
Analysis
Datadog (DDOG) Price to Earnings (2022 - 2026) Analysis & Trends
For FY2025, Datadog's Price to Earnings stood at 444.96, up 67.2% from FY2024.
- In prior years, Datadog's Price to Earnings was 266.05 in FY2024 (-67.8%) and 827.43 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Price to Earnings since Q4 2023.
- On a year-over-year basis, Price to Earnings has increased in each of the last five quarters, with growth averaging 31.1% over the last seven quarters.
- According to Business Quant data, Price to Earnings for the three prior quarters was 309.62 (Q1 2026), 444.96 (Q4 2025) and 467.55 (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 | 526.27 |
| Mar 31, 2026 | 309.62 |
| Dec 31, 2025 | 444.96 |
| Sep 30, 2025 | 467.55 |
| Jun 30, 2025 | 375.89 |
| Mar 31, 2025 | 206.44 |
| Dec 31, 2024 | 266.05 |
| Sep 30, 2024 | 203.16 |
| Jun 30, 2024 | 267.82 |
| Mar 31, 2024 | 358.05 |
| Dec 31, 2023 | 827.43 |
| Jun 30, 2022 | 4,605.05 |
| Mar 31, 2022 | 23,144.63 |
API Access
Datadog Price to Earnings 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=price-to-earnings&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();