AIFF (Firefly Neuroscience) Beneish M-Score: 7.62 (As of Jun. 26, 2026) — 26% Above Median


AIFF Firefly Neuroscience Inc AIFF
9 GF Score
Price $1.26
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What is Firefly Neuroscience Beneish M-Score?

Firefly Neuroscience AIFF +5.04% 9 Beneish M-Score is 7.62 as of Jun. 26, 2026, which is 26% above its 10-year median of 6.03. GuruFocus rates AIFF with a GF Score™ of 9/100. The stock has 4 warning signs investors should review. Among 2,634 Software companies, Firefly Neuroscience ranks worse than 97.49% 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.

Warning Sign:

Beneish M-Score 7.62 higher than -1.78, which implies that the company might have manipulated its financial results.

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

AIFF' s Beneish M-Score Range Over the Past 10 Years
Min: 1.63   Med: 6.03   Max: 11.87
Current: 7.62

During the past 5 years, the highest Beneish M-Score of Firefly Neuroscience was 11.87. The lowest was 1.63. And the median was 6.03.

Firefly Neuroscience Beneish M-Score Historical Data

* Premium members only.

The historical data trend for Firefly Neuroscience'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.

Firefly Neuroscience Beneish M-Score Chart

Firefly Neuroscience Annual Data
Trend Dec21 Dec22 Dec23 Dec24 Dec25
Beneish M-Score
0.00 0.00 0.00 11.87 6.03

Firefly Neuroscience Quarterly Data
Dec21 Dec22 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
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 0.00 1.63 5.41 6.03 7.62

AIFF vs LPSN, AVAI, ANKM: Beneish M-Score Comparison

For the Software - Application subindustry, Firefly Neuroscience'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.

Firefly Neuroscience Beneish M-Score vs Software Industry

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

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


AIFF
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Firefly Neuroscience Inc AIFF
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Firefly Neuroscience 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 Firefly Neuroscience 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 * 0.1659+0.528 * 1.9247+0.404 * 3.8254+0.892 * 11.3957+0.115 * 0.7798
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.0821+4.679 * -0.078735-0.327 * 0.3874
=7.62

* 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 (Mar26) TTM:Last Year (Mar25) TTM:
Total Receivables was $0.19 Mil.
Revenue was 0.485 + 0.412 + 0.388 + 0.299 = $1.58 Mil.
Gross Profit was 0.221 + 0.182 + 0.146 + 0.274 = $0.82 Mil.
Total Current Assets was $4.46 Mil.
Total Assets was $10.91 Mil.
Property, Plant and Equipment(Net PPE) was $0.20 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.20 Mil.
Selling, General, & Admin. Expense(SGA) was $7.78 Mil.
Total Current Liabilities was $2.45 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Net Income was -2.004 + -2.48 + -2.639 + -1.833 = $-8.96 Mil.
Non Operating Income was -0.001 + -0.101 + -0.154 + -0.21 = $-0.47 Mil.
Cash Flow from Operations was -1.948 + -1.805 + -1.488 + -2.39 = $-7.63 Mil.
 Total Receivables was $0.10 Mil.
Revenue was 0.043 + 0.053 + 0.033 + 0.01 = $0.14 Mil.
Gross Profit was 0.043 + 0.053 + 0.033 + 0.01 = $0.14 Mil.
Total Current Assets was $10.38 Mil.
Total Assets was $12.36 Mil.
Property, Plant and Equipment(Net PPE) was $0.13 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.09 Mil.
Selling, General, & Admin. Expense(SGA) was $8.32 Mil.
Total Current Liabilities was $7.18 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 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)
=(0.189 / 1.584) / (0.1 / 0.139)
=0.119318 / 0.719424
=0.1659

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)
=(0.139 / 0.139) / (0.823 / 1.584)
=1 / 0.519571
=1.9247

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 - (4.461 + 0.197) / 10.91) / (1 - (10.377 + 0.134) / 12.363)
=0.573052 / 0.149802
=3.8254

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
=1.584 / 0.139
=11.3957

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))
=(0.086 / (0.086 + 0.134)) / (0.198 / (0.198 + 0.197))
=0.390909 / 0.501266
=0.7798

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)
=(7.779 / 1.584) / (8.316 / 0.139)
=4.910985 / 59.827338
=0.0821

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)
=((0 + 2.454) / 10.91) / ((0 + 7.178) / 12.363)
=0.224931 / 0.580603
=0.3874

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
=(-8.956 - -0.466 - -7.631) / 10.91
=-0.078735

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.

Firefly Neuroscience has a M-score of 7.62 signals that the company is likely to be a manipulator.

Frequently Asked Questions Learn more about Beneish M-Score →
What does a Beneish M-Score of 7.62 mean?
Firefly Neuroscience (AIFF) has a Beneish M-Score of 7.62 as of Jun. 26, 2026. The Beneish M-score measures the likelihood of earnings manipulation. View historical data on Firefly Neuroscience and its competitors. This is 26% above median its historical median of 6.03. Over the past decade, Firefly Neuroscience's Beneish M-Score has ranged from 1.63 to 11.87. According to the industry distribution chart, Firefly Neuroscience ranks #2568 out of 2634 companies in the Software industry, placing it in the top 97.5%.
Is Firefly Neuroscience's Beneish M-Score too high?
Firefly Neuroscience's current Beneish M-Score of 7.62 is 26% above median its 10-year median of 6.03. Over the past 10 years, this metric has ranged from a low of 1.63 to a high of 11.87. Based on the distribution chart, Firefly Neuroscience ranks #2568 out of 2634 companies in the Software industry, which is in the bottom quartile relative to peers. Overall, Firefly Neuroscience has a GF Score™ of 9/100, reflecting its overall financial health beyond just this single metric.
How does Firefly Neuroscience's Beneish M-Score compare to LPSN and AVAI?
According to the Software industry distribution chart, Firefly Neuroscience ranks #2568 out of 2634 companies for Beneish M-Score. This places Firefly Neuroscience in the lower half of its industry. Historically, Firefly Neuroscience's own Beneish M-Score has ranged from 1.63 to 11.87 over the past decade. 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 Firefly Neuroscience and its competitors. Firefly Neuroscience's current Beneish M-Score is 7.62, which is 26% above median its own 10-year median of 6.03. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Firefly Neuroscience stock overvalued right now?
Firefly Neuroscience (AIFF) has a current Beneish M-Score of 7.62. The current Beneish M-Score is 7.62, which is 26% above median its 10-year median of 6.03. Firefly Neuroscience's overall GF Score™ is 9/100 with 4 warning signs to review. 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 Firefly Neuroscience (AIFF), the current Beneish M-Score is 7.62 as of Jun. 26, 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.

Firefly Neuroscience Business Description

Address 1100 Military Road, Kenmore, NY, USA, 14217
Firefly Neuroscience Inc is an artificial intelligence company advancing precision neuroscience, applying AI and large-scale electrophysiological data to give clinicians a more complete, objective picture of how an individual patient's brain is functioning. The firm is developing neuroscientific solutions that improve outcomes for patients with mental illnesses and cognitive disorders. It is focused on the commercialization of its Brain Network Analytics (BNA) software platform (the "BNA Platform")and the discovery and clinical development of biomarkers that support outcomes for people suffering from mental illnesses and cognitive disorders. The company has one reportable segment: the BNA platform. The Company derives revenue from North America.
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