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Hope Bancorp (Hope Bancorp) Beneish M-Score

: -2.73 (As of Today)
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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.

Good Sign:

Beneish M-Score -2.73 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

HOPE' s Beneish M-Score Range Over the Past 10 Years
Min: -2.77   Med: -2.5   Max: -1.36
Current: -2.73

During the past 13 years, the highest Beneish M-Score of Hope Bancorp was -1.36. The lowest was -2.77. And the median was -2.50.


Hope 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 Hope 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 * 1.2266+0.528 * 1+0.404 * 0.903+0.892 * 0.9073+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1762+4.679 * -0.017777-0.327 * 1.6701
=-2.73

* 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 $61.7 Mil.
Revenue was 135.196 + 143.683 + 147.703 + 144.856 = $571.4 Mil.
Gross Profit was 135.196 + 143.683 + 147.703 + 144.856 = $571.4 Mil.
Total Current Assets was $4,135.7 Mil.
Total Assets was $19,131.5 Mil.
Property, Plant and Equipment(Net PPE) was $97.2 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.0 Mil.
Selling, General, & Admin. Expense(SGA) was $225.1 Mil.
Total Current Liabilities was $168.2 Mil.
Long-Term Debt & Capital Lease Obligation was $1,956.7 Mil.
Net Income was 26.481 + 30.049 + 38.022 + 39.121 = $133.7 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.0 Mil.
Cash Flow from Operations was 78.559 + 192.8 + 126.274 + 76.144 = $473.8 Mil.
Total Receivables was $55.5 Mil.
Revenue was 162.631 + 166.541 + 154.284 + 146.362 = $629.8 Mil.
Gross Profit was 162.631 + 166.541 + 154.284 + 146.362 = $629.8 Mil.
Total Current Assets was $2,535.1 Mil.
Total Assets was $19,164.5 Mil.
Property, Plant and Equipment(Net PPE) was $101.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.0 Mil.
Selling, General, & Admin. Expense(SGA) was $211.0 Mil.
Total Current Liabilities was $26.7 Mil.
Long-Term Debt & Capital Lease Obligation was $1,247.8 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)
=(61.72 / 571.438) / (55.46 / 629.818)
=0.108008 / 0.088057
=1.2266

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)
=(629.818 / 629.818) / (571.438 / 571.438)
=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 - (4135.746 + 97.222) / 19131.522) / (1 - (2535.1 + 101.893) / 19164.491)
=0.778744 / 0.862402
=0.903

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
=571.438 / 629.818
=0.9073

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))
=(0 / (0 + 101.893)) / (0 / (0 + 97.222))
=0 / 0
=1

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)
=(225.138 / 571.438) / (210.967 / 629.818)
=0.393985 / 0.334965
=1.1762

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)
=((1956.665 + 168.174) / 19131.522) / ((1247.801 + 26.668) / 19164.491)
=0.111065 / 0.066502
=1.6701

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
=(133.673 - 0 - 473.777) / 19131.522
=-0.017777

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.

Hope Bancorp has a M-score of -2.73 suggests that the company is unlikely to be a manipulator.


Hope Bancorp Beneish M-Score Related Terms

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Hope Bancorp (Hope Bancorp) Business Description

Traded in Other Exchanges
Address
3200 Wilshire Boulevard, Suite 1400, Los Angeles, CA, USA, 90010
Hope Bancorp Inc is a bank holding company engaged in providing financial services. It offers core business banking products for small and medium-sized businesses and individuals. Services offered by the bank include online banking, mobile banking, mortgage loans, credit cards, investment and wealth management services and other banking services.
Executives
Thomas Stenger officer: EVP, Chief Risk Officer 3200 WILSHIRE BLVD STE 1400, LOS ANGELES CA 90010
Angelee Harris officer: EVP, General Counsel 525 J STREET, SACRAMENTO CA 95814
Dale S. Zuehls director 3200 WILSHIRE BLVD., SUITE 1400, LOS ANGELES CA 90010
Julianna Balicka officer: EVP, CFO 3200 WILSHIRE BLVD. STE. 1400, LOS ANGELES CA 90010
William J Lewis director 415 HUNTINGTON DRIVE, SAN MARINO CA 91108
Mary E Thigpen director 3700 S. STONEBRIDGE DRIVE, MCKINNEY TX 75070
Steven Koh director 3200 WILSHIRE BLVD, LOS ANGELES CA 90010
Joon Kyung Kim director 3200 WILSHIRE BLVD STE 1400, LOS ANGELES CA 90010
Chung Hyun Lee director 3435 WILSHIRE BLVD SUITE 700, LOS ANGELES CA 90010
Alex Ko officer: EVP, Deputy CFO 3200 WILSHIRE BOULEVARD, 14TH FLOOR, LOS ANGELES CA 30010
Hung Quoc Van officer: EVP, Chief Information Officer 2954 COLERIDGE CIR, PASADENA CA 91107
James Hwang director 5669 LAKESHORE DR, FRISCO TX 75036
Jason K Kim officer: EVP, Chief Lending Officer 3435 WILSHIRE BLVD., SUITE 700, LOS ANGELES CA 90010
Peter Koh officer: EVP, Chief Credit Officer 3200 WILSHIRE BLVD, LOS ANGELES CA 90010
David P Malone director 3200 WILSHIRE BLVD., SUITE 1400, LOS ANGELES CA 90010