Augmentum Fintech (LSE:AUGM) Beneish M-Score : -1.37 (As of Apr. 01, 2025)

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What is Augmentum Fintech Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

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 -1.37 higher than -1.78, which implies that the company might have manipulated its financial results.

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

LSE:AUGM' s Beneish M-Score Range Over the Past 10 Years
Min: -4.45 Med: -0.83 Max: 0.16
Current: -1.37

During the past 6 years, the highest Beneish M-Score of Augmentum Fintech was 0.16. The lowest was -4.45. And the median was -0.83.

Augmentum Fintech 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 Augmentum Fintech for today is based on a combination of the following eight different indices:

-4.84

0.92 * DSRI

0.528 * GMI

0.404 * AQI

0.892 * SGI

0.115 * DEPI

-4.84

0.92 * 1

0.528 * 1

0.404 * 1.0003

0.892 * 1.8776

0.115 * 1

0.172 * SGAI

4.679 * TATA

0.327 * LVGI

0.172 * 0.5884

4.679 * 0.033371

0.327 * 0.6793

-1.37

* 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 (Mar24) TTM:

Last Year (Mar23) TTM:

Total Receivables was £0.00 Mil.
Revenue was £19.28 Mil.
Gross Profit was £19.28 Mil.
Total Current Assets was £0.00 Mil.
Total Assets was £304.49 Mil.
Property, Plant and Equipment(Net PPE) was £0.22 Mil.
Depreciation, Depletion and Amortization(DDA) was £0.00 Mil.
Selling, General, & Admin. Expense(SGA) was £2.69 Mil.
Total Current Liabilities was £0.00 Mil.
Long-Term Debt & Capital Lease Obligation was £0.47 Mil.
Net Income was £13.80 Mil.
Gross Profit was £0.00 Mil.
Cash Flow from Operations was £3.64 Mil.

Total Receivables was £0.00 Mil.
Revenue was £10.27 Mil.
Gross Profit was £10.27 Mil.
Total Current Assets was £0.00 Mil.
Total Assets was £295.75 Mil.
Property, Plant and Equipment(Net PPE) was £0.30 Mil.
Depreciation, Depletion and Amortization(DDA) was £0.00 Mil.
Selling, General, & Admin. Expense(SGA) was £2.43 Mil.
Total Current Liabilities was £0.00 Mil.
Long-Term Debt & Capital Lease Obligation was £0.68 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 / 19.283)	/	(0 / 10.27)
	=	0	/	0
	=	1

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)
	=	(10.27 / 10.27)	/	(19.283 / 19.283)
	=	1	/	1
	=	1

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 - (0 + 0.219) / 304.49)	/	(1 - (0 + 0.297) / 295.75)
	=	0.999281	/	0.998996
	=	1.0003

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
	=	19.283	/	10.27
	=	1.8776

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 / (0 + 0.297))	/	(0 / (0 + 0.219))
	=	0	/	0
	=	1

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)
	=	(2.688 / 19.283)	/	(2.433 / 10.27)
	=	0.139397	/	0.236904
	=	0.5884

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)
	=	((0.474 + 0) / 304.49)	/	((0.678 + 0) / 295.75)
	=	0.001557	/	0.002292
	=	0.6793

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
	=	(13.802 - 0	-	3.641)	/	304.49
	=	0.033371

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.

Augmentum Fintech has a M-score of -1.37 signals that the company is likely to be a manipulator.

Augmentum Fintech Beneish M-Score Related Terms

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Augmentum Fintech Business Description

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Address

25 Southampton Buildings, London, GBR, WC2A 1AL

Website

https://www.augmentum.vc

Augmentum Fintech PLC is a closed-ended investment company, which invests in companies located in the UK. The company's investment objective is to generate capital growth over the long term through investment in a portfolio of fast-growing and/or high-potential private financial services technology businesses. It invests in early-stage high-growth fintech businesses in the banking, insurance and asset management sectors.