BKAHF (Bank Of Ayudhya PCL) Beneish M-Score : -2.34 (As of Dec. 14, 2024)

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What is Bank Of Ayudhya PCL 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.

Good Sign:

Beneish M-Score -2.34 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Bank Of Ayudhya PCL's Beneish M-Score or its related term are showing as below:

BKAHF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.62 Med: -2.41 Max: -2.19
Current: -2.34

During the past 13 years, the highest Beneish M-Score of Bank Of Ayudhya PCL was -2.19. The lowest was -2.62. And the median was -2.41.

Bank Of Ayudhya PCL 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 Bank Of Ayudhya PCL 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 * 0.8255

0.528 * 1

0.404 * 0.9985

0.892 * 1.2391

0.115 * 0.9256

0.172 * SGAI

4.679 * TATA

0.327 * LVGI

0.172 * 1.0105

4.679 * 0.005699

0.327 * 0.5906

-2.28

* 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 (Sep24) TTM:

Last Year (Sep23) TTM:

Total Receivables was $23,156 Mil.
Revenue was 1138.287 + 1065.66 + 1058.156 + 1178.006 = $4,440 Mil.
Gross Profit was 1138.287 + 1065.66 + 1058.156 + 1178.006 = $4,440 Mil.
Total Current Assets was $0 Mil.
Total Assets was $81,828 Mil.
Property, Plant and Equipment(Net PPE) was $1,088 Mil.
Depreciation, Depletion and Amortization(DDA) was $175 Mil.
Selling, General, & Admin. Expense(SGA) was $1,285 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $8,599 Mil.
Net Income was 230.715 + 223.619 + 209.806 + 221.033 = $885 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 143.282 + 368.322 + -247.569 + 154.817 = $419 Mil.

Total Receivables was $22,638 Mil.
Revenue was 969.103 + 917.55 + 866.904 + 829.709 = $3,583 Mil.
Gross Profit was 969.103 + 917.55 + 866.904 + 829.709 = $3,583 Mil.
Total Current Assets was $0 Mil.
Total Assets was $76,904 Mil.
Property, Plant and Equipment(Net PPE) was $907 Mil.
Depreciation, Depletion and Amortization(DDA) was $133 Mil.
Selling, General, & Admin. Expense(SGA) was $1,026 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $13,683 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)
	=	(23155.62 / 4440.109)	/	(22638.484 / 3583.266)
	=	5.215102	/	6.317835
	=	0.8255

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)
	=	(3583.266 / 3583.266)	/	(4440.109 / 4440.109)
	=	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 + 1087.662) / 81828.189)	/	(1 - (0 + 906.788) / 76904.476)
	=	0.986708	/	0.988209
	=	0.9985

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
	=	4440.109	/	3583.266
	=	1.2391

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))
	=	(133.145 / (133.145 + 906.788))	/	(174.589 / (174.589 + 1087.662))
	=	0.128032	/	0.138316
	=	0.9256

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)
	=	(1285.249 / 4440.109)	/	(1026.46 / 3583.266)
	=	0.289463	/	0.286459
	=	1.0105

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)
	=	((8598.784 + 0) / 81828.189)	/	((13683.255 + 0) / 76904.476)
	=	0.105083	/	0.177925
	=	0.5906

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
	=	(885.173 - 0	-	418.852)	/	81828.189
	=	0.005699

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.

Bank Of Ayudhya PCL has a M-score of -2.28 suggests that the company is unlikely to be a manipulator.

Bank Of Ayudhya PCL Beneish M-Score Related Terms

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Bank Of Ayudhya PCL Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Financial Services » Banks » Bank Of Ayudhya PCL (OTCPK:BKAHF) » Definitions » Beneish M-Score

Comparable Companies

Traded in Other Exchanges

BAY-R:Thailand BAY:Thailand NVAU:Germany

Address

1222 Rama III Road, Bang Phongphang Subdistrict, Yannawa District, Bangkok, THA, 10120

Website

https://www.krungsri.com

Bank Of Ayudhya PCL is a full-service universal bank commonly referred to as Krunsgri, operating mostly in Thailand, and with some exposure to other Asian countries. The bank's operations includes commercial banking, retail banking, and other financial services, such as wealth management, credit cards, insurance, asset management, securities trading, auto hire purchases, equipment leasing, factoring, microfinance, and instalment loans. Its segments include Retail, Commercial and Others.