Datadog (DDOG) Goodwill (2018 - 2026)
Datadog (DDOG) posted Goodwill of $706.72 million for Q2 2026, up 33.1% from $530.98 million a year earlier and up 30.7% from the prior quarter.
Analysis
Datadog (DDOG) Goodwill (2018 - 2026) Analysis & Trends
At the end of FY2025, Datadog's Goodwill came in at $530.57 million, up 47.2% from FY2024.
- Annual Goodwill has increased for four consecutive years, with a five-year compound annual growth rate of 97.6% (FY2020 to FY2025).
- In prior years, Datadog's Goodwill was $360.38 million in FY2024 (+2.2%), $352.69 million in FY2023 (+1.3%), $348.28 million in FY2022 (+19.2%) and $292.18 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Goodwill in data going back to Q4 2018.
- On a year-over-year basis, Goodwill has increased in each of the last 18 quarters, with growth averaging 29.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Goodwill ran from 0.2% in Q2 2024 to 502.4% in Q1 2022.
- According to Business Quant data, Goodwill for the three prior quarters was $540.54 million (Q1 2026), $530.57 million (Q4 2025) and $530.04 million (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 | 706.72 Mn |
| Mar 31, 2026 | 540.54 Mn |
| Dec 31, 2025 | 530.57 Mn |
| Sep 30, 2025 | 530.04 Mn |
| Jun 30, 2025 | 530.98 Mn |
| Mar 31, 2025 | 361.74 Mn |
| Dec 31, 2024 | 360.38 Mn |
| Sep 30, 2024 | 352.87 Mn |
| Jun 30, 2024 | 350.86 Mn |
| Mar 31, 2024 | 351.44 Mn |
| Dec 31, 2023 | 352.69 Mn |
| Sep 30, 2023 | 348.70 Mn |
| Jun 30, 2023 | 350.03 Mn |
| Mar 31, 2023 | 348.54 Mn |
| Dec 31, 2022 | 348.28 Mn |
| Sep 30, 2022 | 332.65 Mn |
| Jun 30, 2022 | 334.69 Mn |
| Mar 31, 2022 | 292.03 Mn |
| Dec 31, 2021 | 292.18 Mn |
| Sep 30, 2021 | 255.74 Mn |
API Access
Datadog Goodwill 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&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();