FUSE (Fusemachines) LT-Debt-to-Total-Asset: 0.14 (As of Mar. 2026)


FUSE Fusemachines Inc FUSE
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What is Fusemachines LT-Debt-to-Total-Asset?

Fusemachines FUSE 8 LT-Debt-to-Total-Asset is 0.14 as of Mar. 2026. GuruFocus rates FUSE with a GF Score™ of 8/100. The stock has 3 warning signs investors should review.

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Fusemachines's long-term debt to total assests ratio for the quarter that ended in Mar. 2026 was 0.14.

Fusemachines's long-term debt to total assets ratio declined from Dec. 2024 (1.37) to Mar. 2026 (0.14). It may suggest that Fusemachines is progressively becoming less dependent on debt to grow their business.


Fusemachines  (NAS:FUSE) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


Fusemachines LT-Debt-to-Total-Asset Related Terms


Fusemachines LT-Debt-to-Total-Asset Historical Data

* Premium members only.

The historical data trend for Fusemachines's LT-Debt-to-Total-Asset can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Fusemachines LT-Debt-to-Total-Asset Chart

Fusemachines Annual Data
Trend Dec22 Dec23 Dec24 Dec25
LT-Debt-to-Total-Asset
1.31 2.09 1.37 0.10

Fusemachines Quarterly Data
Dec22 Dec23 Mar24 Sep24 Dec24 Mar25 Jun25 Dec25 Mar26
LT-Debt-to-Total-Asset Get a 7-Day Free Trial Premium Member Only 1.37 0.27 0.25 0.10 0.14
FUSE
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Fusemachines LT-Debt-to-Total-Asset Calculation

Fusemachines's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2025 is calculated as

LT Debt to Total Assets (A: Dec. 2025 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2025 )/Total Assets (A: Dec. 2025 )
=0.751/7.536
=0.10

Fusemachines's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2026 is calculated as

LT Debt to Total Assets (Q: Mar. 2026 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2026 )/Total Assets (Q: Mar. 2026 )
=0.689/4.944
=0.14

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Frequently Asked Questions Learn more about LT-Debt-to-Total-Asset →
What does a LT-Debt-to-Total-Asset of 0.14 mean?
Fusemachines (FUSE) has a LT-Debt-to-Total-Asset of 0.14 as of Mar. 2026. Long-term Debt to Total Asset ratio is the ratio of total long-term debt to total assets. View historical data on Fusemachines and its competitors.
Is Fusemachines' LT-Debt-to-Total-Asset too high?
Fusemachines' current LT-Debt-to-Total-Asset is 0.14. Overall, Fusemachines has a GF Score™ of 8/100, reflecting its overall financial health beyond just this single metric.
How does Fusemachines' LT-Debt-to-Total-Asset compare to LGCL and CNTMD?
Fusemachines' LT-Debt-to-Total-Asset of 0.14 can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good LT-Debt-to-Total-Asset for a Software company?
A good LT-Debt-to-Total-Asset depends on the Software industry context. However, LT-Debt-to-Total-Asset should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high LT-Debt-to-Total-Asset mean?
A high LT-Debt-to-Total-Asset can signal that a stock is expensive relative to its fundamentals. Long-term Debt to Total Asset ratio is the ratio of total long-term debt to total assets. View historical data on Fusemachines and its competitors. Fusemachines's current LT-Debt-to-Total-Asset is 0.14. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Fusemachines stock overvalued right now?
Fusemachines (FUSE) has a current LT-Debt-to-Total-Asset of 0.14. The current LT-Debt-to-Total-Asset is 0.14. Fusemachines' overall GF Score™ is 8/100 with 3 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is LT-Debt-to-Total-Asset calculated?
LT-Debt-to-Total-Asset is calculated from a company's financial statements. For Fusemachines (FUSE), the current LT-Debt-to-Total-Asset is 0.14 as of Mar. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Fusemachines Business Description

Address 251 West 30th Street, 5th Floor, New York, NY, USA, 10001
Fusemachines Inc is a provider of enterprise AI solutions, offering products such as AI Studio, AI Engines, and AI Agents, along with supporting services across various industries. Its solutions are supported by a talent pool from underserved communities, enabling scalable and high-quality AI delivery while promoting access to AI. The Company serves clients across industries, including healthcare, media, technology, and government, helping address challenges such as improving forecasting accuracy, reducing data entry errors, automating recruitment, and detecting fraud. Its product suite includes AI Studio, AI Engines, and AI Agents, designed to build, deploy, and scale AI solutions, and it operates in Nepal and the United States.
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