Datadog (DDOG) Depreciation & Amortization (CF) (2018 - 2026)
Datadog's Depreciation & Amortization (CF) came in at $20.79 million for Q3 2026, up 38.2% from $15.05 million a year earlier and up 6.7% from the prior quarter.
Datadog (DDOG) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Datadog reported Depreciation & Amortization (CF) of $74.83 million, up 36.5% year-over-year; for FY2025, it was $55.76 million, up 1.5% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last eight years, with a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $54.93 million in FY2024 (+23.5%), $44.47 million in FY2023 (+28.4%), $34.63 million in FY2022 (+51.0%) and $22.94 million in FY2021 (+48.5%).
- The Q3 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q4 2018.
- Year-over-year, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 23.1% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q4 2021 (growth of 68.4%), and the weakest in Q1 2025 (a decline of 12.7%).
- Business Quant data shows DDOG's Depreciation & Amortization (CF) at $19.49 million (Q2 2026), $17.92 million (Q1 2026) and $16.63 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 68.63 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 39.40 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 20.79 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 42.93 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 12.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 32.46 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 5.94 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 14.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.79 Mn |
| Jun 30, 2026 | 19.49 Mn |
| Mar 31, 2026 | 17.92 Mn |
| Dec 31, 2025 | 16.63 Mn |
| Sep 30, 2025 | 15.05 Mn |
| Jun 30, 2025 | 12.82 Mn |
| Mar 31, 2025 | 11.26 Mn |
| Dec 31, 2024 | 15.71 Mn |
| Sep 30, 2024 | 13.89 Mn |
| Jun 30, 2024 | 12.44 Mn |
| Mar 31, 2024 | 12.90 Mn |
| Dec 31, 2023 | 12.03 Mn |
| Sep 30, 2023 | 11.61 Mn |
| Jun 30, 2023 | 10.55 Mn |
| Mar 31, 2023 | 10.28 Mn |
| Dec 31, 2022 | 9.80 Mn |
| Sep 30, 2022 | 9.31 Mn |
| Jun 30, 2022 | 8.12 Mn |
| Mar 31, 2022 | 7.39 Mn |
| Dec 31, 2021 | 6.88 Mn |
Datadog Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();