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Seeing MachinesLSE:SEE +2.09% Equity-to-Asset is 0.19 as of Dec. 2025, which is 75% below its 10-year median of 0.75. The stock has 6 warning signs investors should review. Among 2,894 Software companies, Seeing Machines ranks worse than 85.07% on this metric.
Equity to Asset ratio is calculated as total stockholders equity divided by total asset. Seeing Machines's Total Stockholders Equity for the quarter that ended in Dec. 2025 was £15.83 Mil. Seeing Machines's Total Assets for the quarter that ended in Dec. 2025 was £81.83 Mil.
Therefore, Seeing Machines's Equity to Asset Ratio for the quarter that ended in Dec. 2025 was 0.19.
The historical rank and industry rank for Seeing Machines's Equity-to-Asset or its related term are showing as below:
LSE:SEE'
s Equity-to-Asset Range Over the Past 10 Years
Min: 0.19 Med: 0.75 Max: 0.91
Current: 0.19
During the past 13 years, the highest Equity to Asset Ratio of Seeing Machines was 0.91. The lowest was 0.19. And the median was 0.75.
LSE:SEE's Equity-to-Asset is ranked worse than 85.07% of 2894
companies
in the Software industry
Industry Median: 0.555
vs LSE:SEE: 0.19
Equity to Asset ratio can vary greatly across different industries, as they have different capital structure. A company with smaller Equity to Asset ratio (more leveraged) may have higher ROE % because of the leverage.
For banks, the required minimum Equity to Asset ratio by regulation is 5%. Some stronger banks may have Equity to Asset Ratio of more than 10%.
Seeing Machines Equity-to-Asset Related Terms
Seeing Machines Equity-to-Asset Historical Data
* Premium members only.
The historical data trend for Seeing Machines's Equity-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.
LSE:SEE vs MSFT, ORCL, PLTR: Equity-to-Asset Comparison
For the Software - Infrastructure subindustry, Seeing Machines's Equity-to-Asset, along with its competitors' market caps and Equity-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.
Seeing Machines Equity-to-Asset vs Software Industry
For the Software industry and Technology sector, Seeing Machines's Equity-to-Asset distribution charts can be found below:
* The bar in red indicates where Seeing Machines's Equity-to-Asset falls into.
Equity to Asset ratio measures the ratios of the portion of the asset owned by shareholders out of the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.
Equity to Asset ratio is calculated by dividing total stockholders equity by total asset.
Seeing Machines's Equity to Asset 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 Equity-to-Asset of 0.19 as of Dec. 2025. Equity-to-asset ratio equals total company equity divided by total assets. It measures financial leverage. View historical data on Seeing Machines and its competitors. This is 75% below median its historical median of 0.75. Over the past decade, Seeing Machines' Equity-to-Asset has ranged from 0.19 to 0.91. According to the industry distribution chart, Seeing Machines ranks #2462 out of 2894 companies in the Software industry, placing it in the top 85.1%.
Is Seeing Machines' Equity-to-Asset too high?
Seeing Machines' current Equity-to-Asset of 0.19 is 75% below median its 10-year median of 0.75. Over the past 10 years, this metric has ranged from a low of 0.19 to a high of 0.91. The Software industry median Equity-to-Asset is 0.56. Seeing Machines' value of 0.19 is 65.8% below this industry median. Based on the distribution chart, Seeing Machines ranks #2462 out of 2894 companies in the Software industry, which is in the bottom quartile relative to peers.
How does Seeing Machines' Equity-to-Asset compare to MSFT and ORCL?
According to the Software industry distribution chart, Seeing Machines ranks #2462 out of 2894 companies for Equity-to-Asset. This places Seeing Machines in the lower half of its industry. The industry median Equity-to-Asset is 0.56. Seeing Machines' value of 0.19 is 65.8% below this benchmark. Historically, Seeing Machines' own Equity-to-Asset has ranged from 0.19 to 0.91 over the past decade. While the company's 10-year median is 0.75 vs. the industry median of 0.56, Seeing Machines has consistently been below the industry average. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Equity-to-Asset for a Software company?
The median Equity-to-Asset among Software companies is 0.56, based on 2,894 companies in the industry. Companies in the top quartile (top 25%) have a Equity-to-Asset significantly above this median, while those in the bottom quartile fall well below. However, Equity-to-Asset should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Seeing Machines's current Equity-to-Asset of 0.19 is 65.8% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Equity-to-Asset mean?
A high Equity-to-Asset can signal that a stock is expensive relative to its fundamentals. Equity-to-asset ratio equals total company equity divided by total assets. It measures financial leverage. View historical data on Seeing Machines and its competitors. For the Software industry, the median Equity-to-Asset is 0.56 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Seeing Machines's current Equity-to-Asset is 0.19, which is 75% below median its own 10-year median of 0.75. 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 Possible Value Trap. The stock's GF Value™ is £0.07, compared to a current price of £0.05 — trading 33.3% below its estimated fair value. The current Equity-to-Asset is 0.19, which is 75% below median its 10-year median of 0.75 and 65.8% below the Software industry median of 0.56. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Equity-to-Asset calculated?
Equity-to-Asset is calculated from a company's financial statements. For Seeing Machines (LSE:SEE), the current Equity-to-Asset is 0.19 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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