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Beijing Lier High-Temperature Materials Co (SZSE:002392) Beneish M-Score : -2.17 (As of May. 29, 2024)


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What is Beijing Lier High-Temperature Materials Co 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 -2.17 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Beijing Lier High-Temperature Materials Co's Beneish M-Score or its related term are showing as below:

SZSE:002392' s Beneish M-Score Range Over the Past 10 Years
Min: -2.73   Med: -2.15   Max: -1.35
Current: -2.17

During the past 13 years, the highest Beneish M-Score of Beijing Lier High-Temperature Materials Co was -1.35. The lowest was -2.73. And the median was -2.15.


Beijing Lier High-Temperature Materials Co Beneish M-Score Historical Data

The historical data trend for Beijing Lier High-Temperature Materials Co'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.

Beijing Lier High-Temperature Materials Co Beneish M-Score Chart

Beijing Lier High-Temperature Materials Co 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 -2.43 -1.67 -1.98 -2.52 -2.11

Beijing Lier High-Temperature Materials Co Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 -2.42 -2.40 -2.35 -2.11 -2.17

Competitive Comparison of Beijing Lier High-Temperature Materials Co's Beneish M-Score

For the Metal Fabrication subindustry, Beijing Lier High-Temperature Materials Co'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.


Beijing Lier High-Temperature Materials Co's Beneish M-Score Distribution in the Industrial Products Industry

For the Industrial Products industry and Industrials sector, Beijing Lier High-Temperature Materials Co's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Beijing Lier High-Temperature Materials Co's Beneish M-Score falls into.



Beijing Lier High-Temperature Materials Co 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 Beijing Lier High-Temperature Materials Co 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 * 0.9454+0.528 * 1.0345+0.404 * 0.9174+0.892 * 1.2315+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9583+4.679 * 0.043164-0.327 * 1.1115
=-2.17

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was ¥4,197 Mil.
Revenue was 1492.613 + 1560.795 + 1546.976 + 1307.802 = ¥5,908 Mil.
Gross Profit was 235.565 + 163.738 + 324.511 + 305.174 = ¥1,029 Mil.
Total Current Assets was ¥6,830 Mil.
Total Assets was ¥8,759 Mil.
Property, Plant and Equipment(Net PPE) was ¥1,115 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥158 Mil.
Total Current Liabilities was ¥3,285 Mil.
Long-Term Debt & Capital Lease Obligation was ¥0 Mil.
Net Income was 82.381 + 92.542 + 106.097 + 113.232 = ¥394 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was -150.222 + -32.889 + 52.985 + 146.301 = ¥16 Mil.
Total Receivables was ¥3,605 Mil.
Revenue was 1233.106 + 990.873 + 1224.525 + 1348.894 = ¥4,797 Mil.
Gross Profit was 244.3 + 65.518 + 239.961 + 314.591 = ¥864 Mil.
Total Current Assets was ¥5,777 Mil.
Total Assets was ¥7,720 Mil.
Property, Plant and Equipment(Net PPE) was ¥1,161 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥134 Mil.
Total Current Liabilities was ¥2,603 Mil.
Long-Term Debt & Capital Lease Obligation was ¥2 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)
=(4197.382 / 5908.186) / (3604.924 / 4797.398)
=0.710435 / 0.751433
=0.9454

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)
=(864.37 / 4797.398) / (1028.988 / 5908.186)
=0.180175 / 0.174163
=1.0345

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 - (6829.515 + 1115.057) / 8759.064) / (1 - (5776.725 + 1161.015) / 7720.233)
=0.092988 / 0.101356
=0.9174

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
=5908.186 / 4797.398
=1.2315

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 + 1161.015)) / (0 / (0 + 1115.057))
=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)
=(157.731 / 5908.186) / (133.647 / 4797.398)
=0.026697 / 0.027858
=0.9583

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 + 3284.723) / 8759.064) / ((2.049 + 2602.74) / 7720.233)
=0.375008 / 0.337398
=1.1115

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
=(394.252 - 0 - 16.175) / 8759.064
=0.043164

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.

Beijing Lier High-Temperature Materials Co has a M-score of -2.17 suggests that the company is unlikely to be a manipulator.


Beijing Lier High-Temperature Materials Co Beneish M-Score Related Terms

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Beijing Lier High-Temperature Materials Co (SZSE:002392) Business Description

Traded in Other Exchanges
N/A
Address
Industrial Park, Changping District, Beijing, CHN, 102211
Beijing Lier High-Temperature Materials Co Ltd is a China-based company. It is engaged in the manufacture and distribution of fireproof materials. The company primarily provides unsetting fireproof materials, machine press setting fireproof products, fireproof preformed units, functional fireproof materials, ceramic fiber products, burning high purity oxide products and others. The Company's fireproof products are mainly applied to steels, nonferrous metals, petrochemical engineering, construction materials and other industries.
Executives
Wang Zheng Feng Director
Niu Jun Gao Director
Yang Liu Ji Executives
Kou Zhi Qi Supervisors
He Hui Min Executives
Zhao Shi Jie Directors, executives
Zhang Jian Chao Directors, executives
Hao Bu Jing Directors, executives
Li Luo Zhou Supervisors
Li Sheng Nan Director
Zhao Wei Directors, executives
Zhao Ji Zeng Director
Li Miao Chun Supervisors
Feng Wen Xiang Executives
Zhang Guang Zhi Director

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