Datadog (DDOG) Change in Other Operating Assets (2018 - 2026)
Datadog's Change in Other Operating Assets was $51.43 million in Q3 2026, up 11.8% from $46 million a year earlier and up 31.2% from the prior quarter.
Datadog (DDOG) Change in Other Operating Assets (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Change in Other Operating Assets was $199.3 million through Sep 30, 2026, up 42.6% year-over-year; for FY2025, it came in at $151.94 million, up 46.5% from FY2024.
- Change in Other Operating Assets has now increased for five consecutive years, with a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- In earlier years, Change in Other Operating Assets was $103.71 million in FY2024 (+26.5%), $81.97 million in FY2023 (+30.4%), $62.84 million in FY2022 (+36.2%) and $46.14 million in FY2021 (+61.8%).
- Quarterly Change in Other Operating Assets has moved between $9.48 million (Q3 2023) and $58.17 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Other Operating Assets has increased for nine straight quarters, with growth averaging 60.8% over the last eight quarters.
- The best year-over-year quarter for Change in Other Operating Assets over five years was Q4 2021 (growth of 197.9%); the worst was Q3 2023 (a decline of 21.1%).
- Per Business Quant data, DDOG's Change in Other Operating Assets in the three quarters before Q3 2026 was $39.19 million (Q2 2026), $50.51 million (Q1 2026) and $58.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.46 Bn | 241.53 Bn | 2.30 Bn | 477.00 Mn |
| 2 | CrowdStrike Holdings | 222.40 Bn | 202.84 Bn | 1.10 Bn | 226.16 Mn |
| 3 | Snowflake | 94.80 Bn | 82.11 Bn | 1.04 Bn | 47.42 Mn |
| 4 | Fortinet | 90.00 Bn | 74.25 Bn | 1.64 Bn | 133.70 Mn |
| 5 | Datadog | 63.03 Bn | 43.58 Bn | 959.92 Mn | 51.43 Mn |
| 6 | Zscaler | 33.24 Bn | 19.40 Bn | 689.22 Mn | 126.52 Mn |
| 7 | Axon Enterprise | 31.08 Bn | 25.60 Bn | 546.45 Mn | 55.21 Mn |
| 8 | Okta | 28.61 Bn | 18.70 Bn | 641.00 Mn | -18.00 Mn |
| 9 | Baidu | 27.04 Bn | -46.40 Bn | 1.76 Mn | - |
| 10 | MongoDB | 24.54 Bn | 15.01 Bn | 569.77 Mn | 6.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 51.43 Mn |
| Jun 30, 2026 | 39.19 Mn |
| Mar 31, 2026 | 50.51 Mn |
| Dec 31, 2025 | 58.17 Mn |
| Sep 30, 2025 | 46.00 Mn |
| Jun 30, 2025 | 14.78 Mn |
| Mar 31, 2025 | 33.00 Mn |
| Dec 31, 2024 | 45.95 Mn |
| Sep 30, 2024 | 19.32 Mn |
| Jun 30, 2024 | 14.35 Mn |
| Mar 31, 2024 | 24.10 Mn |
| Dec 31, 2023 | 30.29 Mn |
| Sep 30, 2023 | 9.48 Mn |
| Jun 30, 2023 | 14.80 Mn |
| Mar 31, 2023 | 27.40 Mn |
| Dec 31, 2022 | 14.97 Mn |
| Sep 30, 2022 | 12.02 Mn |
| Jun 30, 2022 | 18.49 Mn |
| Mar 31, 2022 | 17.36 Mn |
| Dec 31, 2021 | 15.74 Mn |
Datadog Change in Other Operating Assets 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-other-operating-assets&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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-other-operating-assets&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();