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Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS (IST:BRSAN) Beneish M-Score : -1.55 (As of Apr. 08, 2025)


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What is Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Beneish M-Score?

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 -1.55 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS's Beneish M-Score or its related term are showing as below:

IST:BRSAN' s Beneish M-Score Range Over the Past 10 Years
Min: -2.97   Med: -1.95   Max: -0.51
Current: -1.55

During the past 13 years, the highest Beneish M-Score of Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS was -0.51. The lowest was -2.97. And the median was -1.95.


Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Beneish M-Score Historical Data

The historical data trend for Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS'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.

* Premium members only.

Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Beneish M-Score Chart

Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1.58 -2.05 -0.51 -2.44 -1.55

Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 -2.44 -1.90 -0.94 -0.49 -1.55

Competitive Comparison of Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS's Beneish M-Score

For the Steel subindustry, Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS'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.


Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS's Beneish M-Score Distribution in the Steel Industry

For the Steel industry and Basic Materials sector, Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS's Beneish M-Score falls into.


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Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS 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 Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS 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 * 0.6991+0.528 * 2.5656+0.404 * 1.4867+0.892 * 1.3056+0.115 * 0.8925
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0877+4.679 * -0.026804-0.327 * 0.7901
=-1.55

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was ₺5,411 Mil.
Revenue was 12081.905 + 13337.638 + 13289.652 + 16356.463 = ₺55,066 Mil.
Gross Profit was 320.979 + 545.446 + 1412.127 + 1328.432 = ₺3,607 Mil.
Total Current Assets was ₺24,612 Mil.
Total Assets was ₺55,439 Mil.
Property, Plant and Equipment(Net PPE) was ₺26,824 Mil.
Depreciation, Depletion and Amortization(DDA) was ₺1,419 Mil.
Selling, General, & Admin. Expense(SGA) was ₺1,114 Mil.
Total Current Liabilities was ₺19,012 Mil.
Long-Term Debt & Capital Lease Obligation was ₺3,069 Mil.
Net Income was -538.485 + -327.902 + 272.811 + 366.963 = ₺-227 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₺0 Mil.
Cash Flow from Operations was 3167.824 + 1497.148 + -4853.671 + 1448.094 = ₺1,259 Mil.
Total Receivables was ₺5,929 Mil.
Revenue was 16441.428 + 10156.067 + 8150.627 + 7427.354 = ₺42,175 Mil.
Gross Profit was 1112.677 + 1593.562 + 2247.509 + 2134.137 = ₺7,088 Mil.
Total Current Assets was ₺31,901 Mil.
Total Assets was ₺55,917 Mil.
Property, Plant and Equipment(Net PPE) was ₺21,301 Mil.
Depreciation, Depletion and Amortization(DDA) was ₺1,000 Mil.
Selling, General, & Admin. Expense(SGA) was ₺784 Mil.
Total Current Liabilities was ₺25,725 Mil.
Long-Term Debt & Capital Lease Obligation was ₺2,462 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)
=(5411.45 / 55065.658) / (5928.631 / 42175.476)
=0.098273 / 0.140571
=0.6991

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)
=(7087.885 / 42175.476) / (3606.984 / 55065.658)
=0.168057 / 0.065503
=2.5656

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 - (24612.142 + 26824.392) / 55439.055) / (1 - (31900.641 + 21300.899) / 55917.026)
=0.072197 / 0.048563
=1.4867

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
=55065.658 / 42175.476
=1.3056

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))
=(1000.295 / (1000.295 + 21300.899)) / (1419.36 / (1419.36 + 26824.392))
=0.044854 / 0.050254
=0.8925

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)
=(1113.541 / 55065.658) / (784.103 / 42175.476)
=0.020222 / 0.018591
=1.0877

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)
=((3069.38 + 19012.272) / 55439.055) / ((2461.795 + 25725.288) / 55917.026)
=0.398305 / 0.504088
=0.7901

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
=(-226.613 - 0 - 1259.395) / 55439.055
=-0.026804

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.

Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS has a M-score of -1.55 signals that the company is likely to be a manipulator.


Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Beneish M-Score Related Terms

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Borusan Birlesik Boru Fabrikalarinayi Ve Ticaret AS Business Description

Traded in Other Exchanges
N/A
Address
Meclisi Mebusan Caddesi No. 35 – 37, Salipazari, Istanbul, TUR, 34427
Borusan Birlesik Boru Fabrikalari Sanayi Ve Ticaret AS Formerly Borusan Mannesmann Boru Sanayi ve Ticaret AS is a steel tube and pipes manufacturer. The company's product portfolio includes gas pipes, water pipes, general purpose pipes, OCTG pipes, line pipe, precision tubes, heavy wall welded tubes, first fire protection systems, and easy flow fire protection sprinkler pipes. It provides products for various projects such as The NK1 Oil Pipeline, The Sahdeniz, The Blue Stream, Hungary Gas Pipeline, and TANAP projects. It exports products to various countries in Americas, Europe, Africa and Asia.

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