Fusemachines (FUSE) Depreciation & Amortization (CF) (2025 - 2026)
Fusemachines (FUSE) posted Depreciation & Amortization (CF) of $24,000 for Q3 2026, up 4.3% from $23,000 a year earlier but down 7.7% from the prior quarter.
Fusemachines (FUSE) Depreciation & Amortization (CF) (2025 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Depreciation & Amortization (CF) at Fusemachines was $97,000; for FY2025, it came in at $96,000, down 11.9% from FY2024.
- In prior years, Fusemachines' Depreciation & Amortization (CF) was $109,000 in FY2024.
- Quarterly Depreciation & Amortization (CF) has run from a low of $23,000 in Q3 2025 to a high of $26,000 in Q2 2026 over five years.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $26,000 (Q2 2026), $24,000 (Q1 2026) and $23,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 68.63 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 39.40 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 20.79 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 42.93 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 12.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | - |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 5.94 Mn |
| 10 | Fusemachines | 10.70 Mn | 2.88 Mn | 981,000.00 | 24,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24,000.00 |
| Jun 30, 2026 | 26,000.00 |
| Mar 31, 2026 | 24,000.00 |
| Dec 31, 2025 | 23,000.00 |
| Sep 30, 2025 | 23,000.00 |
| Jun 30, 2025 | 25,000.00 |
| Mar 31, 2025 | 25,000.00 |
Fusemachines 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=FUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "FUSE", "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=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();