Datadog (DDOG) Intangibles (2018 - 2026)
Datadog's Intangibles was $23.16 million in Q2 2026, up 34.3% from $17.24 million a year earlier and up 55.1% from the prior quarter.
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Analysis
Datadog (DDOG) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Datadog came in at $14.97 million, up 303.3% from FY2024.
- Intangibles shows a five-year compound annual growth rate of 48.6% (FY2020 to FY2025).
- In earlier years, Intangibles was $3.71 million in FY2024 (-61.4%), $9.62 million in FY2023 (-41.2%), $16.37 million in FY2022 (+4.2%) and $15.7 million in FY2021 (+659.0%).
- The Q2 2026 figure marks the highest quarterly Intangibles in data going back to Q4 2018.
- Compared with a year earlier, Intangibles has increased for five straight quarters, with growth averaging 137.7% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q4 2021 (growth of 659.0%); the worst was Q1 2025 (a decline of 64.1%).
- Per Business Quant data, DDOG's Intangibles in the three quarters before Q2 2026 was $14.93 million (Q1 2026), $14.97 million (Q4 2025) and $16.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.01 Bn | 241.08 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 231.46 Bn | 211.86 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 123.83 Bn | 109.76 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 107.27 Bn | 94.59 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 88.05 Bn | 69.69 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Zscaler | 33.23 Bn | 19.35 Bn | - | 214.36 Mn |
| 7 | Okta | 32.56 Bn | 22.66 Bn | 641.00 Mn | 80.00 Mn |
| 8 | Axon Enterprise | 31.41 Bn | 25.93 Bn | 546.45 Mn | 281.58 Mn |
| 9 | MongoDB | 27.26 Bn | 17.73 Bn | 569.77 Mn | 30.73 Mn |
| 10 | F5 | 25.06 Bn | 19.47 Bn | 711.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.16 Mn |
| Mar 31, 2026 | 14.93 Mn |
| Dec 31, 2025 | 14.97 Mn |
| Sep 30, 2025 | 16.81 Mn |
| Jun 30, 2025 | 17.24 Mn |
| Mar 31, 2025 | 2.63 Mn |
| Dec 31, 2024 | 3.71 Mn |
| Sep 30, 2024 | 4.42 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 7.31 Mn |
| Dec 31, 2023 | 9.62 Mn |
| Sep 30, 2023 | 10.15 Mn |
| Jun 30, 2023 | 12.41 Mn |
| Mar 31, 2023 | 14.15 Mn |
| Dec 31, 2022 | 16.37 Mn |
| Sep 30, 2022 | 15.62 Mn |
| Jun 30, 2022 | 17.96 Mn |
| Mar 31, 2022 | 14.09 Mn |
| Dec 31, 2021 | 15.70 Mn |
| Sep 30, 2021 | 12.80 Mn |
API Access
Datadog 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=intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();