Datadog (DDOG) Depreciation & Amortization (CF) (2018 - 2026)
Datadog's Depreciation & Amortization (CF) came in at $19.49 million for Q2 2026, up 52.0% from $12.82 million a year earlier and up 8.7% from the prior quarter.
Datadog (DDOG) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Datadog reported Depreciation & Amortization (CF) of $69.09 million, up 28.7% 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 Q2 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 five consecutive quarters, with growth averaging 20.8% 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 $17.92 million (Q1 2026), $16.63 million (Q4 2025) and $15.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 32.46 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 5.94 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 12.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 6.20 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();