Datadog (DDOG) Goodwill & Intangibles (2018 - 2026)
Datadog (DDOG) posted Goodwill & Intangibles of $726.38 million for Q3 2026, up 32.8% from $546.85 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Datadog (DDOG) Goodwill & Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Goodwill & Intangibles came in at $545.54 million, up 49.8% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 94.3% (FY2020 to FY2025).
- In prior years, Datadog's Goodwill & Intangibles was $364.09 million in FY2024 (+0.5%), $362.31 million in FY2023 (-0.6%), $364.64 million in FY2022 (+18.4%) and $307.88 million in FY2021.
- Quarterly Goodwill & Intangibles has run from a low of $306.12 million in Q1 2022 to a high of $729.88 million in Q2 2026 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last eight quarters, with growth averaging 34.6% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2022, with growth of 489.9%; the weakest was Q2 2024, with a decline of 1.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $729.88 million (Q2 2026), $555.47 million (Q1 2026) and $545.54 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 726.38 Mn |
| Jun 30, 2026 | 729.88 Mn |
| Mar 31, 2026 | 555.47 Mn |
| Dec 31, 2025 | 545.54 Mn |
| Sep 30, 2025 | 546.85 Mn |
| Jun 30, 2025 | 548.22 Mn |
| Mar 31, 2025 | 364.36 Mn |
| Dec 31, 2024 | 364.09 Mn |
| Sep 30, 2024 | 357.29 Mn |
| Jun 30, 2024 | 356.67 Mn |
| Mar 31, 2024 | 358.75 Mn |
| Dec 31, 2023 | 362.31 Mn |
| Sep 30, 2023 | 358.84 Mn |
| Jun 30, 2023 | 362.44 Mn |
| Mar 31, 2023 | 362.69 Mn |
| Dec 31, 2022 | 364.64 Mn |
| Sep 30, 2022 | 348.27 Mn |
| Jun 30, 2022 | 352.65 Mn |
| Mar 31, 2022 | 306.12 Mn |
| Dec 31, 2021 | 307.88 Mn |
API Access
Datadog Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();