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Flowers Foods (FRA:FWF) Beneish M-Score : -2.81 (As of Apr. 29, 2024)


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What is Flowers Foods 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 -2.81 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:FWF' s Beneish M-Score Range Over the Past 10 Years
Min: -2.81   Med: -2.7   Max: -2.54
Current: -2.81

During the past 13 years, the highest Beneish M-Score of Flowers Foods was -2.54. The lowest was -2.81. And the median was -2.70.


Flowers Foods Beneish M-Score Historical Data

The historical data trend for Flowers Foods'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.

Flowers Foods Beneish M-Score Chart

Flowers Foods 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 -2.76 -2.75 -2.58 -2.56 -2.81

Flowers Foods Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 -2.56 -2.44 -2.39 -2.76 -2.81

Competitive Comparison of Flowers Foods's Beneish M-Score

For the Packaged Foods subindustry, Flowers Foods'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.


Flowers Foods's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

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

* The bar in red indicates where Flowers Foods's Beneish M-Score falls into.



Flowers Foods 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 Flowers Foods 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 * 0.9277+0.528 * 0.9918+0.404 * 1.0477+0.892 * 1.0355+0.115 * 1.0218
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0821+4.679 * -0.062777-0.327 * 1.1099
=-2.84

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was €317 Mil.
Revenue was 1035.318 + 1123.707 + 1133.49 + 1433.216 = €4,726 Mil.
Gross Profit was 496.379 + 545.139 + 555.603 + 685.221 = €2,282 Mil.
Total Current Assets was €631 Mil.
Total Assets was €3,143 Mil.
Property, Plant and Equipment(Net PPE) was €1,137 Mil.
Depreciation, Depletion and Amortization(DDA) was €141 Mil.
Selling, General, & Admin. Expense(SGA) was €1,969 Mil.
Total Current Liabilities was €604 Mil.
Long-Term Debt & Capital Lease Obligation was €1,178 Mil.
Net Income was 32.715 + -43.786 + 58.85 + 66.043 = €114 Mil.
Non Operating Income was -5.951 + -1.137 + -2.307 + -3.841 = €-13 Mil.
Cash Flow from Operations was 84.396 + 120.321 + 65.491 + 54.127 = €324 Mil.
Total Receivables was €330 Mil.
Revenue was 1022.04 + 1169.751 + 1068.082 + 1303.826 = €4,564 Mil.
Gross Profit was 478.582 + 547.973 + 513.647 + 645.897 = €2,186 Mil.
Total Current Assets was €760 Mil.
Total Assets was €3,127 Mil.
Property, Plant and Equipment(Net PPE) was €1,062 Mil.
Depreciation, Depletion and Amortization(DDA) was €135 Mil.
Selling, General, & Admin. Expense(SGA) was €1,757 Mil.
Total Current Liabilities was €533 Mil.
Long-Term Debt & Capital Lease Obligation was €1,066 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)
=(316.923 / 4725.731) / (329.906 / 4563.699)
=0.067063 / 0.072289
=0.9277

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)
=(2186.099 / 4563.699) / (2282.342 / 4725.731)
=0.479019 / 0.482961
=0.9918

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 - (630.633 + 1136.938) / 3142.516) / (1 - (759.863 + 1061.565) / 3127.466)
=0.43753 / 0.417603
=1.0477

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
=4725.731 / 4563.699
=1.0355

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))
=(134.681 / (134.681 + 1061.565)) / (140.79 / (140.79 + 1136.938))
=0.112586 / 0.110188
=1.0218

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)
=(1968.607 / 4725.731) / (1756.868 / 4563.699)
=0.416572 / 0.384966
=1.0821

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)
=((1178.381 + 604.442) / 3142.516) / ((1065.715 + 532.817) / 3127.466)
=0.567323 / 0.511127
=1.1099

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
=(113.822 - -13.236 - 324.335) / 3142.516
=-0.062777

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.

Flowers Foods has a M-score of -2.84 suggests that the company is unlikely to be a manipulator.


Flowers Foods Beneish M-Score Related Terms

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Flowers Foods (FRA:FWF) Business Description

Traded in Other Exchanges
Address
1919 Flowers Circle, Thomasville, GA, USA, 31757
Flowers Foods Inc is an American company producing bakery food for retail and foodservice across the United States. The product portfolio includes fresh breads, buns, rolls, snack cakes, and tortillas. The company distributes to supermarkets, convenience stores, and restaurants. The key brands are Nature's Own, Whitewheat, Cobblestone Bread, Wonder, Dave's Killer Bread, Canyon Bakehouse, Mrs. Freshley's, and Tastykake.

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