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Happy Helper A/S (OCSE:HAPPY) Beneish M-Score : 0.00 (As of Jun. 24, 2024)


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What is Happy Helper A/S 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.

The historical rank and industry rank for Happy Helper A/S's Beneish M-Score or its related term are showing as below:

During the past 7 years, the highest Beneish M-Score of Happy Helper A/S was 0.00. The lowest was 0.00. And the median was 0.00.


Happy Helper A/S Beneish M-Score Historical Data

The historical data trend for Happy Helper A/S'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.

Happy Helper A/S Beneish M-Score Chart

Happy Helper A/S Annual Data
Trend Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22
Beneish M-Score
Get a 7-Day Free Trial - 3.43 -5.00 -2.40 -6.02

Happy Helper A/S Semi-Annual Data
Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only - -2.40 - -6.02 -

Competitive Comparison of Happy Helper A/S's Beneish M-Score

For the Personal Services subindustry, Happy Helper A/S'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.


Happy Helper A/S's Beneish M-Score Distribution in the Personal Services Industry

For the Personal Services industry and Consumer Cyclical sector, Happy Helper A/S's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Happy Helper A/S's Beneish M-Score falls into.



Happy Helper A/S 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 Happy Helper A/S 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 * 0.5452+0.528 * 0.9431+0.404 * 1.3082+0.892 * 0.6607+0.115 * 0.9831
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1+4.679 * -0.585871-0.327 * 1.5347
=-6.02

* 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 (Aug22) TTM:Last Year (Aug21) TTM:
Total Receivables was kr0.31 Mil.
Revenue was kr5.39 Mil.
Gross Profit was kr1.65 Mil.
Total Current Assets was kr3.52 Mil.
Total Assets was kr15.73 Mil.
Property, Plant and Equipment(Net PPE) was kr0.10 Mil.
Depreciation, Depletion and Amortization(DDA) was kr4.97 Mil.
Selling, General, & Admin. Expense(SGA) was kr0.00 Mil.
Total Current Liabilities was kr3.20 Mil.
Long-Term Debt & Capital Lease Obligation was kr8.29 Mil.
Net Income was kr-8.61 Mil.
Gross Profit was kr0.00 Mil.
Cash Flow from Operations was kr0.60 Mil.
Total Receivables was kr0.86 Mil.
Revenue was kr8.16 Mil.
Gross Profit was kr2.35 Mil.
Total Current Assets was kr9.92 Mil.
Total Assets was kr24.52 Mil.
Property, Plant and Equipment(Net PPE) was kr0.16 Mil.
Depreciation, Depletion and Amortization(DDA) was kr4.33 Mil.
Selling, General, & Admin. Expense(SGA) was kr0.00 Mil.
Total Current Liabilities was kr3.24 Mil.
Long-Term Debt & Capital Lease Obligation was kr8.44 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)
=(0.308 / 5.394) / (0.855 / 8.164)
=0.0571 / 0.104728
=0.5452

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)
=(2.351 / 8.164) / (1.647 / 5.394)
=0.287972 / 0.305339
=0.9431

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 - (3.515 + 0.101) / 15.727) / (1 - (9.923 + 0.164) / 24.521)
=0.770077 / 0.588638
=1.3082

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
=5.394 / 8.164
=0.6607

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))
=(4.325 / (4.325 + 0.164)) / (4.967 / (4.967 + 0.101))
=0.963466 / 0.980071
=0.9831

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)
=(0 / 5.394) / (0 / 8.164)
=0 / 0
=1

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)
=((8.293 + 3.202) / 15.727) / ((8.442 + 3.236) / 24.521)
=0.730909 / 0.476245
=1.5347

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
=(-8.611 - 0 - 0.603) / 15.727
=-0.585871

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.

Happy Helper A/S has a M-score of -6.02 suggests that the company is unlikely to be a manipulator.


Happy Helper A/S Beneish M-Score Related Terms

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Happy Helper A/S (OCSE:HAPPY) Business Description

Traded in Other Exchanges
N/A
Address
Langelinie alle 47, Copenhagen, DNK, 2100
Happy Helper A/S provides on-demand home cleaning services. It has developed a Airbnb-like" online marketplace, and it matches customers with cleaners to provide its services.

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