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Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities, calculated as total liabilities divided by total asset. Seeing Machines's Total Liabilities for the quarter that ended in Dec. 2025 was £65.99 Mil. Seeing Machines's Total Assets for the quarter that ended in Dec. 2025 was £81.83 Mil.
Therefore, Seeing Machines's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2025 was 0.81.
Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities. It can vary greatly across different industries, as they have different capital structure. A high Liabilities-to-Assets ratio (more leveraged) suggests that the company might have potential solvency problems, or even a signal of financial distress. Conversely, a low Liabilities-to-Assets ratio usually indicates a healthy financial situation. However, it may also suggest that the company is not expanding or not making good use of debt.
Seeing Machines Liabilities-to-Assets Related Terms
Seeing Machines Liabilities-to-Assets Historical Data
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The historical data trend for Seeing Machines's Liabilities-to-Assets 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.
LSE:SEE vs MSFT, ORCL, PLTR: Liabilities-to-Assets Comparison
For the Software - Infrastructure subindustry, Seeing Machines's Liabilities-to-Assets, along with its competitors' market caps and Liabilities-to-Assets 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.
Seeing Machines Liabilities-to-Assets vs Software Industry
For the Software industry and Technology sector, Seeing Machines's Liabilities-to-Assets distribution charts can be found below:
* The bar in red indicates where Seeing Machines's Liabilities-to-Assets falls into.
Liabilities-to-Assets ratio measures the portion of the total liabilities to the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.
Liabilities-to-Assets ratio is calculated by dividing total liabilities by total asset.
Seeing Machines's Liabilities-to-Assets Ratio for the fiscal year that ended in Jun. 2025 is calculated as:
* 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.
Seeing Machines (LSE:SEE) has a Liabilities-to-Assets of 0.81 as of Dec. 2025. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Seeing Machines and its competitors.
Is Seeing Machines' Liabilities-to-Assets too high?
Seeing Machines' current Liabilities-to-Assets is 0.81.
How does Seeing Machines' Liabilities-to-Assets compare to MSFT and ORCL?
Seeing Machines' Liabilities-to-Assets of 0.81 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 Liabilities-to-Assets for a Software company?
A good Liabilities-to-Assets depends on the Software industry context. However, Liabilities-to-Assets 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 Liabilities-to-Assets mean?
A high Liabilities-to-Assets can signal that a stock is expensive relative to its fundamentals. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Seeing Machines and its competitors. Seeing Machines's current Liabilities-to-Assets is 0.81. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Seeing Machines stock overvalued right now?
Based on GuruFocus' analysis, Seeing Machines (LSE:SEE) is currently considered Modestly Undervalued. The stock's GF Value™ is £0.06, compared to a current price of £0.05 — trading 22% below its estimated fair value. The current Liabilities-to-Assets is 0.81. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Liabilities-to-Assets calculated?
Liabilities-to-Assets is calculated from a company's financial statements. For Seeing Machines (LSE:SEE), the current Liabilities-to-Assets is 0.81 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.
Seeing Machines Ltd develops, sells, and licenses products and technology to detect and manage driver fatigue and distraction, partnering for product development, manufacturing, and sales in key markets. It operates two segments: the OEM segment, covering automotive and aviation business units that generate license-based royalties and non-recurring engineering services via Tier 1 customers; and the Aftermarket segment, comprising Fleet and Off-Road units that retrofit technology into commercial vehicles through direct and indirect customers. The Company operates in Australia, North America, Asia-Pacific (excluding Australia), Europe, and other regions, with the majority of revenue coming from Europe.
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