Datadog (DDOG) Change in Intangibles (2018 - 2026)
Datadog (DDOG) reported Change in Intangibles of $28.45 million for Q3 2026, up 37.2% from $20.73 million a year earlier and up 4.3% from the prior quarter.
Datadog (DDOG) Change in Intangibles (2018 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Datadog's Change in Intangibles came in at $117.05 million, up 55.7% 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 16 quarters, with growth averaging 53.3% 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 Q3 2026 came in at $27.28 million (Q2 2026), $34.17 million (Q1 2026) and $27.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Intangibless (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 | 26.52 Mn |
| 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 | 28.45 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 18.68 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 6.00 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
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.45 Mn |
| 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 |
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_KEY
import 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();