Fusemachines (FUSE) Total Liabilities (2024 - 2026)
Fusemachines' Total Liabilities was $20.53 million in Q2 2026, up 2.7% from the prior quarter.
Analysis
Fusemachines (FUSE) Total Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Fusemachines came in at $22.11 million, down 25.9% from FY2024.
- In earlier years, Total Liabilities was $29.85 million in FY2024.
- Quarterly Total Liabilities has moved between $19.98 million (Q1 2026) and $54.98 million (Q3 2025) over five years.
- Per Business Quant data, FUSE's Total Liabilities in the three quarters before Q2 2026 was $19.98 million (Q1 2026), $22.11 million (Q4 2025) and $54.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Fusemachines | 18.84 Mn | 178,824.61 | 963,000.00 | 20.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.53 Mn |
| Mar 31, 2026 | 19.98 Mn |
| Dec 31, 2025 | 22.11 Mn |
| Sep 30, 2025 | 54.98 Mn |
| Dec 31, 2024 | 29.85 Mn |
API Access
Fusemachines Total Liabilities 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=total-liabilities&ticker=FUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();