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New York Community Bancorp (FRA:QC1) Beneish M-Score : -1.45 (As of Apr. 27, 2024)


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What is New York Community Bancorp 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 -1.45 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for New York Community Bancorp's Beneish M-Score or its related term are showing as below:

FRA:QC1' s Beneish M-Score Range Over the Past 10 Years
Min: -2.78   Med: -2.3   Max: -1.45
Current: -1.45

During the past 13 years, the highest Beneish M-Score of New York Community Bancorp was -1.45. The lowest was -2.78. And the median was -2.30.


New York Community Bancorp 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 New York Community Bancorp 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 * 0.772+0.528 * 1+0.404 * 0.9447+0.892 * 2.39+0.115 * 0.2205
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.5134+4.679 * -0.00304-0.327 * 0.5309
=-1.51

* 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 €2,924 Mil.
Revenue was 805.126 + 976.354 + 979.303 + 608.968 = €3,370 Mil.
Gross Profit was 805.126 + 976.354 + 979.303 + 608.968 = €3,370 Mil.
Total Current Assets was €19,245 Mil.
Total Assets was €104,590 Mil.
Property, Plant and Equipment(Net PPE) was €598 Mil.
Depreciation, Depletion and Amortization(DDA) was €153 Mil.
Selling, General, & Admin. Expense(SGA) was €1,761 Mil.
Total Current Liabilities was €6,740 Mil.
Long-Term Debt & Capital Lease Obligation was €12,762 Mil.
Net Income was -2480.485 + 193.959 + 381.199 + 1873.604 = €-32 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0 Mil.
Cash Flow from Operations was 714.343 + 987.598 + -4250.415 + 2834.69 = €286 Mil.
Total Receivables was €1,585 Mil.
Revenue was 392.704 + 346.43 + 356.642 + 314.168 = €1,410 Mil.
Gross Profit was 392.704 + 346.43 + 356.642 + 314.168 = €1,410 Mil.
Total Current Assets was €11,646 Mil.
Total Assets was €85,096 Mil.
Property, Plant and Equipment(Net PPE) was €464 Mil.
Depreciation, Depletion and Amortization(DDA) was €22 Mil.
Selling, General, & Admin. Expense(SGA) was €487 Mil.
Total Current Liabilities was €9,747 Mil.
Long-Term Debt & Capital Lease Obligation was €20,137 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)
=(2924.313 / 3369.751) / (1584.976 / 1409.944)
=0.867813 / 1.124141
=0.772

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)
=(1409.944 / 1409.944) / (3369.751 / 3369.751)
=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 - (19245.079 + 597.884) / 104590.269) / (1 - (11646.128 + 463.504) / 85095.936)
=0.810279 / 0.857694
=0.9447

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
=3369.751 / 1409.944
=2.39

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))
=(21.804 / (21.804 + 463.504)) / (152.952 / (152.952 + 597.884))
=0.044928 / 0.203709
=0.2205

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)
=(1760.808 / 3369.751) / (486.816 / 1409.944)
=0.522534 / 0.345273
=1.5134

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)
=((12761.889 + 6739.95) / 104590.269) / ((20137.408 + 9746.8) / 85095.936)
=0.186459 / 0.351183
=0.5309

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
=(-31.723 - 0 - 286.216) / 104590.269
=-0.00304

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.

New York Community Bancorp has a M-score of -1.51 signals that the company is likely to be a manipulator.


New York Community Bancorp Beneish M-Score Related Terms

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New York Community Bancorp (FRA:QC1) Business Description

Traded in Other Exchanges
Address
102 Duffy Avenue, Hicksville, New York, NY, USA, 11801
New York Community Bancorp Inc is the bank holding company. It is a New York State-chartered savings bank that operates through eight local divisions: Queens County Savings Bank, Roslyn Savings Bank, Richmond County Savings Bank, Roosevelt Savings Bank, and Atlantic Bank in New York; Garden State Community Bank in New Jersey; Ohio Savings Bank in Ohio, and AmTrust Bank in Florida and Arizona. The bank compete for depositors in diverse markets with a comprehensive menu of products and services, and access to multiple service channels, including online banking, mobile banking, and banking by phone. It is also a producer of multi-family loans in New York City.