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Shantui Construction Machinery Co (SZSE:000680) Beneish M-Score : -2.04 (As of May. 26, 2024)


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What is Shantui Construction Machinery 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 -2.04 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Shantui Construction Machinery Co's Beneish M-Score or its related term are showing as below:

SZSE:000680' s Beneish M-Score Range Over the Past 10 Years
Min: -3.69   Med: -2.58   Max: -1.86
Current: -2.04

During the past 13 years, the highest Beneish M-Score of Shantui Construction Machinery Co was -1.86. The lowest was -3.69. And the median was -2.58.


Shantui Construction Machinery Co Beneish M-Score Historical Data

The historical data trend for Shantui Construction Machinery 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.

Shantui Construction Machinery Co Beneish M-Score Chart

Shantui Construction Machinery 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 -2.73 -2.58 -2.79 -2.00 -2.36

Shantui Construction Machinery 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 -2.48 -2.22 -2.15 -2.36 -2.04

Competitive Comparison of Shantui Construction Machinery Co's Beneish M-Score

For the Farm & Heavy Construction Machinery subindustry, Shantui Construction Machinery 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.


Shantui Construction Machinery Co's Beneish M-Score Distribution in the Farm & Heavy Construction Machinery Industry

For the Farm & Heavy Construction Machinery industry and Industrials sector, Shantui Construction Machinery Co's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Shantui Construction Machinery Co's Beneish M-Score falls into.



Shantui Construction Machinery 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 Shantui Construction Machinery 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 * 1.1914+0.528 * 0.8922+0.404 * 0.9689+0.892 * 1.1203+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8029+4.679 * 0.043143-0.327 * 1.0272
=-2.04

* 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 ¥4,659 Mil.
Revenue was 3069.085 + 3011.412 + 2665.805 + 2491.621 = ¥11,238 Mil.
Gross Profit was 523.348 + 584.844 + 503.276 + 406.501 = ¥2,018 Mil.
Total Current Assets was ¥10,964 Mil.
Total Assets was ¥14,221 Mil.
Property, Plant and Equipment(Net PPE) was ¥1,563 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥431 Mil.
Total Current Liabilities was ¥7,745 Mil.
Long-Term Debt & Capital Lease Obligation was ¥151 Mil.
Net Income was 207.509 + 262.911 + 200.344 + 133.194 = ¥804 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was -59.636 + 438.163 + -3.592 + -184.494 = ¥190 Mil.
Total Receivables was ¥3,491 Mil.
Revenue was 2372.025 + 3471.343 + 2316.245 + 1871.374 = ¥10,031 Mil.
Gross Profit was 449.407 + 498.731 + 349.367 + 309.629 = ¥1,607 Mil.
Total Current Assets was ¥9,051 Mil.
Total Assets was ¥12,224 Mil.
Property, Plant and Equipment(Net PPE) was ¥1,670 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥479 Mil.
Total Current Liabilities was ¥6,558 Mil.
Long-Term Debt & Capital Lease Obligation was ¥50 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)
=(4659.422 / 11237.923) / (3490.94 / 10030.987)
=0.414616 / 0.348016
=1.1914

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)
=(1607.134 / 10030.987) / (2017.969 / 11237.923)
=0.160217 / 0.179568
=0.8922

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 - (10963.953 + 1562.769) / 14220.613) / (1 - (9051.223 + 1669.983) / 12223.982)
=0.119115 / 0.122937
=0.9689

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
=11237.923 / 10030.987
=1.1203

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 + 1669.983)) / (0 / (0 + 1562.769))
=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)
=(431.141 / 11237.923) / (479.328 / 10030.987)
=0.038365 / 0.047785
=0.8029

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)
=((150.992 + 7745.074) / 14220.613) / ((50 + 6557.529) / 12223.982)
=0.555255 / 0.540538
=1.0272

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
=(803.958 - 0 - 190.441) / 14220.613
=0.043143

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.

Shantui Construction Machinery Co has a M-score of -2.04 suggests that the company is unlikely to be a manipulator.


Shantui Construction Machinery Co Beneish M-Score Related Terms

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Shantui Construction Machinery Co (SZSE:000680) Business Description

Traded in Other Exchanges
N/A
Address
No. 58 Taibai East Road, National Highway 327, Shantui International Business Park, High-tech Zone, Shandong province, Jining, CHN, 272073
Shantui Construction Machinery Co Ltd is a China-based company specializing in the research and development, manufacture and sale of construction machinery products and related spare parts. Its product portfolio covers earthmoving machinery, pavement and compaction machinery, concrete machinery, excavators, loaders and other host products. The company has formed industrial bases such as bulldozers, road machinery, loaders, concrete machinery and construction machinery parts.
Executives
Wu Ru Jiang Director
Su Zi Meng Independent director
Sun Xue Ke Director
Xia Yu Wu Director
Wang Xiao Ying Supervisors
Zhang Jian Executives
Yan Kai Rong Executives
Li Dian He Executives
Yin Xiang Hua Director
Bi Yu Xin Securities Affairs Representative
Cheng Ze Hu Supervisors
Gao La Sheng Executives
Zhang Xiu Wen Directors, executives
Dong Ping Director
Wu Yu Zhong Executives

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