Datadog (DDOG) Operating Expenses (2018 - 2026)
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Analysis
Datadog (DDOG) Operating Expenses (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 1.30 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 936.60 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 885.22 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 704.71 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 484.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 885.22 Mn |
| Jun 30, 2026 | 875.89 Mn |
| Mar 31, 2026 | 789.87 Mn |
| Dec 31, 2025 | 756.94 Mn |
| Sep 30, 2025 | 715.00 Mn |
| Jun 30, 2025 | 696.28 Mn |
| Mar 31, 2025 | 616.35 Mn |
| Dec 31, 2024 | 584.16 Mn |
| Sep 30, 2024 | 531.98 Mn |
| Jun 30, 2024 | 509.16 Mn |
| Mar 31, 2024 | 489.16 Mn |
| Dec 31, 2023 | 457.08 Mn |
| Sep 30, 2023 | 448.45 Mn |
| Jun 30, 2023 | 429.62 Mn |
| Mar 31, 2023 | 416.77 Mn |
| Dec 31, 2022 | 407.27 Mn |
| Sep 30, 2022 | 374.28 Mn |
| Jun 30, 2022 | 327.35 Mn |
| Mar 31, 2022 | 278.15 Mn |
| Dec 31, 2021 | 250.59 Mn |
API Access
Datadog Operating Expenses 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=operating-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();