Seeing MachinesLSE:SEE -3.04% Piotroski F-Score is 4 as of Jun. 25, 2026, which is at its 10-year median of 4.00. The stock has 6 warning signs investors should review. Among 2,742 Software companies, Seeing Machines ranks worse than 60.07% on this metric.
The zones of discrimination were as such:
Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3
Seeing Machines has an F-score of 4 indicating the company's financial situation is typical for a stable company.
The historical rank and industry rank for Seeing Machines's Piotroski F-Score or its related term are showing as below:
LSE:SEE'
s Piotroski F-Score Range Over the Past 10 Years
Min: 2 Med: 4 Max: 5
Current: 4
During the past 13 years, the highest Piotroski F-Score of Seeing Machines was 5. The lowest was 2. And the median was 4.
The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.
He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.
He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.
What he found was something that exceeded his most optimistic expectations.
Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.
Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).
Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.
Seeing Machines Piotroski F-Score Related Terms
Seeing Machines Piotroski F-Score Historical Data
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The historical data trend for Seeing Machines's Piotroski F-Score 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: Piotroski F-Score Comparison
For the Software - Infrastructure subindustry, Seeing Machines's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score 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 Piotroski F-Score vs Software Industry
For the Software industry and Technology sector, Seeing Machines's Piotroski F-Score distribution charts can be found below:
* The bar in red indicates where Seeing Machines's Piotroski F-Score falls into.
* 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.
*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.
Profitability
Question 1. Return on Assets (ROA)
Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.
Score 1 if positive, 0 if negative.
Seeing Machines's current Net Income (TTM) was -18.62.
==> Negative ==> Score 0.
Question 2. Cash Flow Return on Assets (CFROA)
Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.
Seeing Machines's return on assets of this year was -0.18182262. Seeing Machines's return on assets of last year was -0.23322202.
==> This year is higher. ==> Score 1.
Question 4. Quality of Earnings (Accrual)
Compare Cash flow return on assets (2) to return on assets (1)
Seeing Machines's gearing of this year was 0.40088161. Seeing Machines's gearing of last year was 0.37668356.
==> Last year is lower than this year ==> Score 0.
Question 6. Change in Working Capital (Liquidity)
Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.
Score 1 if this year's current ratio is higher, 0 if it's lower
Seeing Machines's current ratio of this year was 2.16618982. Seeing Machines's current ratio of last year was 1.87422584.
==> This year's current ratio is higher. ==> Score 1.
Question 7. Change in Shares in Issue
Compare the number of shares in issue this year, to the number in issue last year.
Score 0 if there is larger number of shares in issue this year, 1 otherwise.
Seeing Machines's number of shares in issue this year was 4556.413. Seeing Machines's number of shares in issue last year was 4156.019.
==> There is larger number of shares in issue this year. ==> Score 0.
Efficiency
Question 8. Change in Gross Margin
Compare this year's gross margin (Gross Profit divided by sales) to last year's.
Score 1 if this year's gross margin is higher, 0 if it's lower.
Seeing Machines's gross margin of this year was 0.62890166. Seeing Machines's gross margin of last year was 0.46618253.
==> This year's gross margin is higher. ==> Score 1.
Question 9. Change in asset turnover
Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.
Score 1 if this year's asset turnover ratio is higher, 0 if it's lower
Seeing Machines's asset turnover of this year was 0.44859539. Seeing Machines's asset turnover of last year was 0.50426921.
==> Last year's asset turnover is higher ==> Score 0.
Evaluation
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Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3
Seeing Machines has an F-score of 4 indicating the company's financial situation is typical for a stable company.
Seeing Machines (LSE:SEE) has a Piotroski F-Score of 4 as of Jun. 25, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Seeing Machines and its competitors. This is near median its historical median of 4.00. Over the past decade, Seeing Machines' Piotroski F-Score has ranged from 2.00 to 5.00. According to the industry distribution chart, Seeing Machines ranks #1647 out of 2742 companies in the Software industry, placing it in the top 60.1%.
Is Seeing Machines' Piotroski F-Score too high?
Seeing Machines' current Piotroski F-Score of 4 is near median its 10-year median of 4.00. Over the past 10 years, this metric has ranged from a low of 2.00 to a high of 5.00. The Software industry median Piotroski F-Score is 5.00. Seeing Machines' value of 4 is 20% below this industry median. Based on the distribution chart, Seeing Machines ranks #1647 out of 2742 companies in the Software industry, which is below the industry midpoint.
How does Seeing Machines' Piotroski F-Score compare to MSFT and ORCL?
According to the Software industry distribution chart, Seeing Machines ranks #1647 out of 2742 companies for Piotroski F-Score. This places Seeing Machines in the lower half of its industry. The industry median Piotroski F-Score is 5.00. Seeing Machines' value of 4 is 20% below this benchmark. Historically, Seeing Machines' own Piotroski F-Score has ranged from 2.00 to 5.00 over the past decade. While the company's 10-year median is 4.00 vs. the industry median of 5.00, 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 Piotroski F-Score for a Software company?
The median Piotroski F-Score among Software companies is 5.00, based on 2,742 companies in the industry. Companies in the top quartile (top 25%) have a Piotroski F-Score significantly above this median, while those in the bottom quartile fall well below. However, Piotroski F-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Seeing Machines's current Piotroski F-Score of 4 is 20% 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 Piotroski F-Score mean?
A high Piotroski F-Score can signal that a stock is expensive relative to its fundamentals. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Seeing Machines and its competitors. For the Software industry, the median Piotroski F-Score is 5.00 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Seeing Machines's current Piotroski F-Score is 4, which is near median its own 10-year median of 4.00. 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 £0.04 — trading 36.3% below its estimated fair value. The current Piotroski F-Score is 4, which is near median its 10-year median of 4.00 and 20% below the Software industry median of 5.00. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Piotroski F-Score calculated?
Piotroski F-Score is calculated from a company's financial statements. For Seeing Machines (LSE:SEE), the current Piotroski F-Score is 4 as of Jun. 25, 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.
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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