Airtificial Intelligence Structures (XMAD:AI) Debt-to-Asset : 0.12 (As of Dec. 2025)

Author: Vera Yuan Vera Yuan
Vera Yuan
Vera Yuan
Director of Data and Quant Analytics at GuruFocus
Focused on building reliable datasets, financial models, and research tools for value-minded investors. Committed to turning complex data into practical guidance for value-investing and long-term wealth.
Reviewed by: Charlie Tian Charlie Tian
Charlie Tian
Charlie Tian
Founder & CEO of GuruFocus
Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.

What is Airtificial Intelligence Structures Debt-to-Asset?

Airtificial Intelligence Structures XMAD:AI -2.40% Debt-to-Asset is 0.12 as of Dec. 2025. The stock has 8 warning signs investors should review.

Airtificial Intelligence Structures's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2025 was €23.33 Mil. Airtificial Intelligence Structures's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2025 was €0.12 Mil. Airtificial Intelligence Structures's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Dec. 2025 was €201.35 Mil. Airtificial Intelligence Structures's debt to asset for the quarter that ended in Dec. 2025 was 0.12.


Airtificial Intelligence Structures  (XMAD:AI) Debt-to-Asset Explanation

In the calculation of Debt-to-Asset, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Assets.


Airtificial Intelligence Structures Debt-to-Asset Related Terms


Airtificial Intelligence Structures Debt-to-Asset Historical Data

* Premium members only.

The historical data trend for Airtificial Intelligence Structures's Debt-to-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.

Airtificial Intelligence Structures Debt-to-Asset Chart

Airtificial Intelligence Structures Annual Data
Trend Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24 Dec25
Debt-to-Asset
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.27 0.30 0.32 0.30 0.12

Airtificial Intelligence Structures Semi-Annual Data
Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24 Jun25 Dec25
Debt-to-Asset Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.32 0.12 0.30 0.09 0.12

XMAD:AI vs GEV, ETN, PH: Debt-to-Asset Comparison

For the Specialty Industrial Machinery subindustry, Airtificial Intelligence Structures's Debt-to-Asset, along with its competitors' market caps and Debt-to-Asset data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Airtificial Intelligence Structures Debt-to-Asset vs Industrial Products Industry

For the Industrial Products industry and Industrials sector, Airtificial Intelligence Structures's Debt-to-Asset distribution charts can be found below:

* The bar in red indicates where Airtificial Intelligence Structures's Debt-to-Asset falls into.



Airtificial Intelligence Structures Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Airtificial Intelligence Structures's Debt-to-Asset for the fiscal year that ended in Dec. 2025 is calculated as

Debt-to-Asset=Total Debt / Total Assets
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Total Assets
=(23.327 + 0.117) / 201.354
=0.12

Airtificial Intelligence Structures's Debt-to-Asset for the quarter that ended in Dec. 2025 is calculated as

Debt-to-Asset=Total Debt / Total Assets
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Total Assets
=(23.327 + 0.117) / 201.354
=0.12

* 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 Debt-to-Asset →
What does a Debt-to-Asset of 0.12 mean?
Airtificial Intelligence Structures (XMAD:AI) has a Debt-to-Asset of 0.12 as of Dec. 2025. Debt-to-asset ratio represents the ratio of total debt to total assets. View historical data on Airtificial Intelligence Structures and its competitors.
Is Airtificial Intelligence Structures' Debt-to-Asset too high?
Airtificial Intelligence Structures' current Debt-to-Asset is 0.12.
How does Airtificial Intelligence Structures' Debt-to-Asset compare to GEV and ETN?
Airtificial Intelligence Structures' Debt-to-Asset of 0.12 can be compared against companies in the Industrial Products industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Debt-to-Asset for an Industrial Products company?
A good Debt-to-Asset depends on the Industrial Products industry context. However, Debt-to-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 Debt-to-Asset mean?
A high Debt-to-Asset can signal that a stock is expensive relative to its fundamentals. Debt-to-asset ratio represents the ratio of total debt to total assets. View historical data on Airtificial Intelligence Structures and its competitors. Airtificial Intelligence Structures's current Debt-to-Asset is 0.12. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Airtificial Intelligence Structures stock overvalued right now?
Based on GuruFocus' analysis, Airtificial Intelligence Structures (XMAD:AI) is currently considered Fairly Valued. The stock's GF Value™ is €0.10, compared to a current price of €0.09 — trading 6.3% below its estimated fair value. The current Debt-to-Asset is 0.12. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Debt-to-Asset calculated?
Debt-to-Asset is calculated from a company's financial statements. For Airtificial Intelligence Structures (XMAD:AI), the current Debt-to-Asset is 0.12 as of Dec. 2025. 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.

Airtificial Intelligence Structures Business Description

Other Exchanges AITLF:USA0EVB:UKIRG:Germany
Address General Diaz Porlier 49, Madrid, ESP, 28001
Airtificial Intelligence Structures SA is a prominent Spanish company in the field of Artificial Intelligence, Robotics, and the Development of Intelligent Structures. The company provides design and manufacturing technology solutions for the automotive, aeronautics, infrastructure, and other industrial sectors. It operates in the Aerospace & Defense, Infrastructure, and Intelligent Robots segments. The majority of the company's revenues are derived from the Intelligent Robots segment that caters to the automotive sector, specifically, in assembly, test, and test lines.