GURUFOCUS.COM » STOCK LIST » Financial Services » Insurance » Allianz SE (OTCPK:ALIZY) » Definitions » Beneish M-Score

ALIZY (Allianz SE) Beneish M-Score : -1.76 (As of Dec. 15, 2024)


View and export this data going back to 2020. Start your Free Trial

What is Allianz SE Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

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 -1.76 higher than -1.78, which implies that the company might have manipulated its financial results.

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

ALIZY' s Beneish M-Score Range Over the Past 10 Years
Min: -3.44   Med: -2.47   Max: -1.22
Current: -1.76

During the past 13 years, the highest Beneish M-Score of Allianz SE was -1.22. The lowest was -3.44. And the median was -2.47.


Allianz SE 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 Allianz SE 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 * 0.6711+0.528 * 1+0.404 * 1.0004+0.892 * 1.712+0.115 * 0.9832
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0+4.679 * -0.01418-0.327 * 0
=-1.72

* 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 $14,566 Mil.
Revenue was $112,336 Mil.
Gross Profit was $112,336 Mil.
Total Current Assets was $0 Mil.
Total Assets was $1,072,164 Mil.
Property, Plant and Equipment(Net PPE) was $14,253 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,478 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $0 Mil.
Net Income was $9,314 Mil.
Gross Profit was $-2,159 Mil.
Cash Flow from Operations was $26,676 Mil.
Total Receivables was $12,678 Mil.
Revenue was $65,618 Mil.
Gross Profit was $65,618 Mil.
Total Current Assets was $0 Mil.
Total Assets was $991,416 Mil.
Property, Plant and Equipment(Net PPE) was $13,546 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,308 Mil.
Selling, General, & Admin. Expense(SGA) was $11,836 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $37,911 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)
=(14565.976 / 112335.878) / (12677.966 / 65617.585)
=0.129665 / 0.19321
=0.6711

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)
=(65617.585 / 65617.585) / (112335.878 / 112335.878)
=1 / 1
=1

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 - (0 + 14252.999) / 1072163.577) / (1 - (0 + 13545.551) / 991416.314)
=0.986706 / 0.986337
=1.0004

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
=112335.878 / 65617.585
=1.712

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))
=(2308.263 / (2308.263 + 13545.551)) / (2477.644 / (2477.644 + 14252.999))
=0.145597 / 0.14809
=0.9832

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 / 112335.878) / (11835.805 / 65617.585)
=0 / 0.180376
=0

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)
=((0 + 0) / 1072163.577) / ((37911.017 + 0) / 991416.314)
=0 / 0.038239
=0

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
=(9314.068 - -2159.215 - 26676.118) / 1072163.577
=-0.01418

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.

Allianz SE has a M-score of -1.72 signals that the company is likely to be a manipulator.


Allianz SE Beneish M-Score Related Terms

Thank you for viewing the detailed overview of Allianz SE's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


Allianz SE Business Description

Address
Koniginstrasse 28, Munich, BY, DEU, 80802
Allianz was founded as a transport and accident insurance firm in 1890 by Carl von Thieme and Wilhelm von Finck, the founders of Munich Re. It took the company five years to expand the business into Europe and North America and subsequently list in Berlin. After World War I, individuals were confronted with the loss of wealth, life, and security and Allianz founded a life business in the 1920s. In the years after World War II, Allianz's foreign assets were seized and it lost its foreign business. By relocating its head office from Berlin to Munich in 1948, Allianz began the long road of rebuilding its domestic business. It took 20 years for Allianz to reacquire its prior foreign interests, starting in Austria. It became the largest European insurer in the postwar boom era.