Datadog (DDOG) Change in Intangibles (2018 - 2026)
Datadog (DDOG) reported Change in Intangibles of $27.28 million for Q2 2026, up 39.5% from $19.55 million a year earlier but down 20.2% from the prior quarter.
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Analysis
Datadog (DDOG) Change in Intangibles (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Datadog's Change in Intangibles came in at $109.34 million, up 53.7% year-over-year; for FY2025, it was $85.84 million, up 41.2% from FY2024.
- Change in Intangibles has increased for eight consecutive years, with a five-year compound annual growth rate of 33.2% (FY2020 to FY2025).
- By year, Change in Intangibles came in at $60.78 million in FY2024 (+74.6%), $34.82 million in FY2023 (+17.5%), $29.63 million in FY2022 (+13.7%) and $26.07 million in FY2021 (+27.4%).
- Five-year quarterly Change in Intangibles spans a low of $6.71 million in Q4 2021 and a high of $34.17 million in Q1 2026.
- Year over year, Change in Intangibles has now increased in each of the last 15 quarters, with growth averaging 60.8% over the last eight quarters.
- The high point for year-over-year Change in Intangibles in five years was Q3 2024 (growth of 96.8%); the low point was Q3 2022 (a decline of 2.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.17 million (Q1 2026), $27.16 million (Q4 2025) and $20.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (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 | 26.52 Mn |
| 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 | 27.28 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 | 6.00 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 | 27.28 Mn |
| Mar 31, 2026 | 34.17 Mn |
| Dec 31, 2025 | 27.16 Mn |
| Sep 30, 2025 | 20.73 Mn |
| Jun 30, 2025 | 19.55 Mn |
| Mar 31, 2025 | 18.40 Mn |
| Dec 31, 2024 | 16.50 Mn |
| Sep 30, 2024 | 16.69 Mn |
| Jun 30, 2024 | 16.23 Mn |
| Mar 31, 2024 | 11.37 Mn |
| Dec 31, 2023 | 8.54 Mn |
| Sep 30, 2023 | 8.48 Mn |
| Jun 30, 2023 | 9.09 Mn |
| Mar 31, 2023 | 8.71 Mn |
| Dec 31, 2022 | 8.04 Mn |
| Sep 30, 2022 | 6.81 Mn |
| Jun 30, 2022 | 6.81 Mn |
| Mar 31, 2022 | 7.97 Mn |
| Dec 31, 2021 | 6.71 Mn |
| Sep 30, 2021 | 6.97 Mn |
API Access
Datadog Change in 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=change-in-intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();