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Sasa Polyesternayi AS (IST:SASA) Beneish M-Score : -0.13 (As of May. 31, 2024)


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What is Sasa Polyesternayi 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 -0.13 higher than -1.78, which implies that the company might have manipulated its financial results.

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

IST:SASA' s Beneish M-Score Range Over the Past 10 Years
Min: -3.03   Med: -1.68   Max: 1.53
Current: -0.13

During the past 13 years, the highest Beneish M-Score of Sasa Polyesternayi AS was 1.53. The lowest was -3.03. And the median was -1.68.


Sasa Polyesternayi AS Beneish M-Score Historical Data

The historical data trend for Sasa Polyesternayi 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.

Sasa Polyesternayi AS Beneish M-Score Chart

Sasa Polyesternayi AS Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1.63 -2.65 -0.90 1.39 -0.54

Sasa Polyesternayi AS Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 1.53 0.27 0.29 -0.54 -0.13

Competitive Comparison of Sasa Polyesternayi AS's Beneish M-Score

For the Textile Manufacturing subindustry, Sasa Polyesternayi 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.


Sasa Polyesternayi AS's Beneish M-Score Distribution in the Manufacturing - Apparel & Accessories Industry

For the Manufacturing - Apparel & Accessories industry and Consumer Cyclical sector, Sasa Polyesternayi AS's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Sasa Polyesternayi AS's Beneish M-Score falls into.



Sasa Polyesternayi 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 Sasa Polyesternayi 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 * 2.8048+0.528 * 0.7961+0.404 * 0.8947+0.892 * 0.7069+0.115 * 5.3469
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0969+4.679 * 0.110637-0.327 * 0.7017
=-0.13

* 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 ₺8,740 Mil.
Revenue was 10667.424 + 19831.28 + 10867.753 + 7488.057 = ₺48,855 Mil.
Gross Profit was 2640.058 + 3286.01 + 2765.429 + 1663.966 = ₺10,355 Mil.
Total Current Assets was ₺29,299 Mil.
Total Assets was ₺184,127 Mil.
Property, Plant and Equipment(Net PPE) was ₺107,882 Mil.
Depreciation, Depletion and Amortization(DDA) was ₺929 Mil.
Selling, General, & Admin. Expense(SGA) was ₺1,698 Mil.
Total Current Liabilities was ₺45,546 Mil.
Long-Term Debt & Capital Lease Obligation was ₺41,645 Mil.
Net Income was 10726.072 + 13546.832 + 5349.468 + -3200.11 = ₺26,422 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₺0 Mil.
Cash Flow from Operations was 7626.309 + -1301.994 + -176.832 + -96.414 = ₺6,051 Mil.
Total Receivables was ₺4,408 Mil.
Revenue was 14383.801 + 37798.055 + 8408.077 + 8520.914 = ₺69,111 Mil.
Gross Profit was 920.781 + 6909.305 + 1672.132 + 2159.538 = ₺11,662 Mil.
Total Current Assets was ₺15,648 Mil.
Total Assets was ₺62,630 Mil.
Property, Plant and Equipment(Net PPE) was ₺29,134 Mil.
Depreciation, Depletion and Amortization(DDA) was ₺1,394 Mil.
Selling, General, & Admin. Expense(SGA) was ₺2,190 Mil.
Total Current Liabilities was ₺25,905 Mil.
Long-Term Debt & Capital Lease Obligation was ₺16,362 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)
=(8739.793 / 48854.514) / (4408.02 / 69110.847)
=0.178894 / 0.063782
=2.8048

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)
=(11661.756 / 69110.847) / (10355.463 / 48854.514)
=0.16874 / 0.211965
=0.7961

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 - (29299.035 + 107881.766) / 184126.569) / (1 - (15648.147 + 29133.971) / 62630.014)
=0.254965 / 0.284974
=0.8947

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
=48854.514 / 69110.847
=0.7069

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))
=(1394.33 / (1394.33 + 29133.971)) / (929.489 / (929.489 + 107881.766))
=0.045673 / 0.008542
=5.3469

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)
=(1697.814 / 48854.514) / (2189.546 / 69110.847)
=0.034752 / 0.031682
=1.0969

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)
=((41645.13 + 45545.855) / 184126.569) / ((16361.541 + 25905.203) / 62630.014)
=0.473538 / 0.674864
=0.7017

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
=(26422.262 - 0 - 6051.069) / 184126.569
=0.110637

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.

Sasa Polyesternayi AS has a M-score of -0.13 signals that the company is likely to be a manipulator.


Sasa Polyesternayi AS Beneish M-Score Related Terms

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Sasa Polyesternayi AS (IST:SASA) Business Description

Traded in Other Exchanges
N/A
Address
Sarihamzali Mahallesi Turhan Cemal Beriker Bulvari No 559, Seyhan, Adana, TUR, 01355
Sasa Polyester Sanayi AS is a company engaged in the production and marketing of polyester fiber, yarns and related products, and polyester chips. The company's product portfolio includes specialty polymers and chemicals which consist of thermoplastic polyester elastomers, dimethyl terephthalate, plasticizers, advanced polymers, polybutylene terephthalate solutions, and polyethylene terephthalate solutions. It also provides fiberfill, nonwoven, and textile fibers; and DO, flat, texturing and POY filament yarns. The group generates revenue through the sale of products.

Sasa Polyesternayi AS (IST:SASA) Headlines

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