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FrieslandCampina Engro Pakistan (KAR:FCEPL) Beneish M-Score : -2.23 (As of May. 16, 2024)


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What is FrieslandCampina Engro Pakistan 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.

Good Sign:

Beneish M-Score -2.23 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

KAR:FCEPL' s Beneish M-Score Range Over the Past 10 Years
Min: -3.65   Med: -2.47   Max: 0.31
Current: -2.23

During the past 13 years, the highest Beneish M-Score of FrieslandCampina Engro Pakistan was 0.31. The lowest was -3.65. And the median was -2.47.


FrieslandCampina Engro Pakistan Beneish M-Score Historical Data

The historical data trend for FrieslandCampina Engro Pakistan'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.

FrieslandCampina Engro Pakistan Beneish M-Score Chart

FrieslandCampina Engro Pakistan 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 -2.26 -2.79 -2.57 -2.51 -2.34

FrieslandCampina Engro Pakistan 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 -1.96 -1.94 -1.47 -2.34 -2.23

Competitive Comparison of FrieslandCampina Engro Pakistan's Beneish M-Score

For the Packaged Foods subindustry, FrieslandCampina Engro Pakistan'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.


FrieslandCampina Engro Pakistan's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, FrieslandCampina Engro Pakistan's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where FrieslandCampina Engro Pakistan's Beneish M-Score falls into.



FrieslandCampina Engro Pakistan 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 FrieslandCampina Engro Pakistan 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 * 1.2484+0.528 * 1.2271+0.404 * 1.414+0.892 * 1.2787+0.115 * 0.9713
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9018+4.679 * -0.111455-0.327 * 1.012
=-2.23

* 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 ₨4,284 Mil.
Revenue was 27463.601 + 26416.848 + 26803.644 + 24363.985 = ₨105,048 Mil.
Gross Profit was 4405.942 + 3281.096 + 3414.561 + 3356.045 = ₨14,458 Mil.
Total Current Assets was ₨31,832 Mil.
Total Assets was ₨48,063 Mil.
Property, Plant and Equipment(Net PPE) was ₨12,544 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨2,005 Mil.
Selling, General, & Admin. Expense(SGA) was ₨6,715 Mil.
Total Current Liabilities was ₨32,723 Mil.
Long-Term Debt & Capital Lease Obligation was ₨498 Mil.
Net Income was 664.773 + -66.619 + 249.155 + 335.887 = ₨1,183 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₨0 Mil.
Cash Flow from Operations was -3739.766 + 6812.678 + 2804.084 + 663.032 = ₨6,540 Mil.
Total Receivables was ₨2,683 Mil.
Revenue was 22650.926 + 20646.189 + 22056.694 + 16799.84 = ₨82,154 Mil.
Gross Profit was 4357.04 + 3090.292 + 3820.334 + 2606.419 = ₨13,874 Mil.
Total Current Assets was ₨30,292 Mil.
Total Assets was ₨43,400 Mil.
Property, Plant and Equipment(Net PPE) was ₨10,754 Mil.
Depreciation, Depletion and Amortization(DDA) was ₨1,661 Mil.
Selling, General, & Admin. Expense(SGA) was ₨5,823 Mil.
Total Current Liabilities was ₨28,374 Mil.
Long-Term Debt & Capital Lease Obligation was ₨1,269 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)
=(4283.577 / 105048.078) / (2683.398 / 82153.649)
=0.040777 / 0.032663
=1.2484

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)
=(13874.085 / 82153.649) / (14457.644 / 105048.078)
=0.16888 / 0.137629
=1.2271

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 - (31832.04 + 12544.323) / 48062.528) / (1 - (30292.369 + 10753.631) / 43400.001)
=0.076695 / 0.05424
=1.414

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
=105048.078 / 82153.649
=1.2787

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))
=(1661.444 / (1661.444 + 10753.631)) / (2004.594 / (2004.594 + 12544.323))
=0.133825 / 0.137783
=0.9713

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)
=(6714.884 / 105048.078) / (5823.295 / 82153.649)
=0.063922 / 0.070883
=0.9018

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)
=((498.264 + 32723.471) / 48062.528) / ((1269.401 + 28374.354) / 43400.001)
=0.691219 / 0.683036
=1.012

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
=(1183.196 - 0 - 6540.028) / 48062.528
=-0.111455

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.

FrieslandCampina Engro Pakistan has a M-score of -2.23 suggests that the company is unlikely to be a manipulator.


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FrieslandCampina Engro Pakistan (KAR:FCEPL) Business Description

Traded in Other Exchanges
N/A
Address
Harbor Front Building, 5th Floor, HC-3, Near Marine Drive, Block - 4, Clifton, Karachi, PAK, 75600
FrieslandCampina Engro Pakistan Ltd is involved in the business of manufacturing, process, and selling dairy products, beverages, ice cream, and frozen desserts. It also owns and operates dairy farms. It sells its products under the brand name Olper's, Dairy Omung, Omore, and others. Its operating segment of the company is Dairy-Based products & frozen desserts out of which the majority comes from Dairy-Based products.

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