Seeing Machines (LSE:SEE) Beneish M-Score: -3.48 (As of Jun. 25, 2026)


What is Seeing Machines Beneish M-Score?

Seeing Machines LSE:SEE -3.04% Beneish M-Score is -3.48 as of Jun. 25, 2026. The stock has 6 warning signs investors should review. Among 2,633 Software companies, Seeing Machines ranks better than 87.43% on this metric.

The zones of discrimination for M-Score is as such:

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Good Sign:

Beneish M-Score -3.48 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Seeing Machines's Beneish M-Score or its related term are showing as below:

LSE:SEE' s Beneish M-Score Range Over the Past 10 Years
Min: -4.7   Med: -1.91   Max: 4.75
Current: -3.48

During the past 13 years, the highest Beneish M-Score of Seeing Machines was 4.75. The lowest was -4.70. And the median was -1.91.

Seeing Machines Beneish M-Score Historical Data

* Premium members only.

The historical data trend for Seeing Machines's Beneish M-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.

Seeing Machines Beneish M-Score Chart

Seeing Machines Annual Data
Trend Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23 Jun24 Jun25
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.82 -0.63 -1.97 -3.96 -3.48

Seeing Machines Semi-Annual Data
Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24 Jun25 Dec25
Beneish M-Score 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 0.00 -3.96 0.00 -3.48 0.00

LSE:SEE vs MSFT, ORCL, PLTR: Beneish M-Score Comparison

For the Software - Infrastructure subindustry, Seeing Machines's Beneish M-Score, along with its competitors' market caps and Beneish M-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 Beneish M-Score vs Software Industry

For the Software industry and Technology sector, Seeing Machines's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Seeing Machines's Beneish M-Score falls into.


Seeing Machines Beneish M-Score Calculation

The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.

The M-Score Variables:

The M-score of Seeing Machines for today is based on a combination of the following eight different indices:

M=-4.84+0.92 * DSRI+0.528 * GMI+0.404 * AQI+0.892 * SGI+0.115 * DEPI
=-4.84+0.92 * 0.5804+0.528 * 0.7413+0.404 * 1.2577+0.892 * 0.8643+0.115 * 0.7987
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0363+4.679 * -0.098679-0.327 * 0.9144
=-3.48

* 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.

This Year (Jun25) TTM:Last Year (Jun24) TTM:
Total Receivables was £12.81 Mil.
Revenue was £45.94 Mil.
Gross Profit was £28.89 Mil.
Total Current Assets was £34.83 Mil.
Total Assets was £96.77 Mil.
Property, Plant and Equipment(Net PPE) was £4.16 Mil.
Depreciation, Depletion and Amortization(DDA) was £9.44 Mil.
Selling, General, & Admin. Expense(SGA) was £16.42 Mil.
Total Current Liabilities was £16.08 Mil.
Long-Term Debt & Capital Lease Obligation was £39.92 Mil.
Net Income was £-18.62 Mil.
Gross Profit was £0.00 Mil.
Cash Flow from Operations was £-9.07 Mil.
 Total Receivables was £25.54 Mil.
Revenue was £53.15 Mil.
Gross Profit was £24.78 Mil.
Total Current Assets was £48.12 Mil.
Total Assets was £102.41 Mil.
Property, Plant and Equipment(Net PPE) was £5.68 Mil.
Depreciation, Depletion and Amortization(DDA) was £7.06 Mil.
Selling, General, & Admin. Expense(SGA) was £18.33 Mil.
Total Current Liabilities was £25.67 Mil.
Long-Term Debt & Capital Lease Obligation was £39.14 Mil.

1. DSRI = Days Sales in Receivables Index

Measured as the ratio of Revenue in Total Receivables in year t to year t-1.

A large increase in DSR could be indicative of revenue inflation.

DSRI=(Receivables_t / Revenue_t) / (Receivables_t-1 / Revenue_t-1)
=(12.813 / 45.942) / (25.543 / 53.153)
=0.278895 / 0.480556
=0.5804

2. GMI = Gross Margin Index

Measured as the ratio of gross margin in year t-1 to gross margin in year t.

Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.

GMI=GrossMargin_t-1 / GrossMargin_t
=(GrossProfit_t-1 / Revenue_t-1) / (GrossProfit_t / Revenue_t)
=(24.779 / 53.153) / (28.893 / 45.942)
=0.466183 / 0.628902
=0.7413

3. AQI = Asset Quality Index

AQI is the ratio of asset quality in year t to year t-1.

Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.

AQI=(1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) / (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1)
=(1 - (34.828 + 4.163) / 96.768) / (1 - (48.117 + 5.677) / 102.413)
=0.597067 / 0.474735
=1.2577

4. SGI = Sales Growth Index

Ratio of Revenue in year t to sales in year t-1.

Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.

SGI=Sales_t / Sales_t-1
=Revenue_t / Revenue_t-1
=45.942 / 53.153
=0.8643

5. DEPI = Depreciation Index

Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.

DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.

DEPI=(Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) / (Depreciation_t / (Depreciaton_t + PPE_t))
=(7.06 / (7.06 + 5.677)) / (9.443 / (9.443 + 4.163))
=0.554291 / 0.694032
=0.7987

Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.

6. SGAI = Sales, General and Administrative expenses Index

The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.

SGA expenses index > 1 means that the company is becoming less efficient in generate sales.

SGAI=(SGA_t / Sales_t) / (SGA_t-1 /Sales_t-1)
=(16.416 / 45.942) / (18.327 / 53.153)
=0.35732 / 0.344797
=1.0363

7. LVGI = Leverage Index

The ratio of total debt to Total Assets in year t relative to yeat t-1.

An LVGI > 1 indicates an increase in leverage

LVGI=((LTD_t + CurrentLiabilities_t) / TotalAssets_t) / ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1)
=((39.924 + 16.078) / 96.768) / ((39.141 + 25.673) / 102.413)
=0.578724 / 0.632869
=0.9144

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

TATA=(IncomefromContinuingOperations_t - CashFlowsfromOperations_t) / TotalAssets_t
=(NetIncome_t - NonOperatingIncome_t - CashFlowsfromOperations_t) / TotalAssets_t
=(-18.621 - 0 - -9.072) / 96.768
=-0.098679

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Seeing Machines has a M-score of -3.48 suggests that the company is unlikely to be a manipulator.

Frequently Asked Questions Learn more about Beneish M-Score →
What does a Beneish M-Score of -3.48 mean?
Seeing Machines (LSE:SEE) has a Beneish M-Score of -3.48 as of Jun. 25, 2026. The Beneish M-score measures the likelihood of earnings manipulation. View historical data on Seeing Machines and its competitors. According to the industry distribution chart, Seeing Machines ranks #331 out of 2633 companies in the Software industry, placing it in the top 12.6%.
Is Seeing Machines' Beneish M-Score too high?
Seeing Machines' current Beneish M-Score is -3.48. Based on the distribution chart, Seeing Machines ranks #331 out of 2633 companies in the Software industry, which is in the top quartile — a strong position relative to peers.
How does Seeing Machines' Beneish M-Score compare to MSFT and ORCL?
According to the Software industry distribution chart, Seeing Machines ranks #331 out of 2633 companies for Beneish M-Score. This places Seeing Machines in the top 13% of its industry — outperforming the majority of peers. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Beneish M-Score for a Software company?
A good Beneish M-Score depends on the Software industry context. However, Beneish M-Score 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 Beneish M-Score mean?
A high Beneish M-Score can signal that a stock is expensive relative to its fundamentals. The Beneish M-score measures the likelihood of earnings manipulation. View historical data on Seeing Machines and its competitors. Seeing Machines's current Beneish M-Score is -3.48. 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 Beneish M-Score is -3.48. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Beneish M-Score calculated?
Beneish M-Score is calculated from a company's financial statements. For Seeing Machines (LSE:SEE), the current Beneish M-Score is -3.48 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 Business Description

Other Exchanges SEEMF:USASEEl:UKM2Z:Germany
Address 80 Mildura Street, Fyshwick, Canberra, ACT, AUS, 2609
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.