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Mettler-Toledo International (Mettler-Toledo International) Beneish M-Score : -2.76 (As of Apr. 24, 2024)


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What is Mettler-Toledo International 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 -2.76 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

MTD' s Beneish M-Score Range Over the Past 10 Years
Min: -2.78   Med: -2.6   Max: -2.4
Current: -2.76

During the past 13 years, the highest Beneish M-Score of Mettler-Toledo International was -2.40. The lowest was -2.78. And the median was -2.60.


Mettler-Toledo International Beneish M-Score Historical Data

The historical data trend for Mettler-Toledo International'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.

Mettler-Toledo International Beneish M-Score Chart

Mettler-Toledo International 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 -2.51 -2.66 -2.56 -2.40 -2.76

Mettler-Toledo International Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 -2.40 -2.49 -2.53 -2.56 -2.76

Competitive Comparison of Mettler-Toledo International's Beneish M-Score

For the Diagnostics & Research subindustry, Mettler-Toledo International'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.


Mettler-Toledo International's Beneish M-Score Distribution in the Medical Diagnostics & Research Industry

For the Medical Diagnostics & Research industry and Healthcare sector, Mettler-Toledo International's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Mettler-Toledo International's Beneish M-Score falls into.



Mettler-Toledo International 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 Mettler-Toledo International 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 * 0.9684+0.528 * 0.9953+0.404 * 1.0278+0.892 * 0.9665+0.115 * 0.9672
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9968+4.679 * -0.044257-0.327 * 1.0454
=-2.76

* 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 $664 Mil.
Revenue was 934.992 + 942.462 + 982.117 + 928.738 = $3,788 Mil.
Gross Profit was 551.638 + 559.539 + 583.543 + 546.566 = $2,241 Mil.
Total Current Assets was $1,230 Mil.
Total Assets was $3,356 Mil.
Property, Plant and Equipment(Net PPE) was $803 Mil.
Depreciation, Depletion and Amortization(DDA) was $121 Mil.
Selling, General, & Admin. Expense(SGA) was $904 Mil.
Total Current Liabilities was $1,181 Mil.
Long-Term Debt & Capital Lease Obligation was $1,889 Mil.
Net Income was 184.794 + 201.631 + 213.927 + 188.426 = $789 Mil.
Non Operating Income was -11.487 + -6.214 + -7.01 + -3.878 = $-29 Mil.
Cash Flow from Operations was 281.505 + 264.296 + 266.811 + 153.262 = $966 Mil.
Total Receivables was $709 Mil.
Revenue was 1057.685 + 985.846 + 978.387 + 897.791 = $3,920 Mil.
Gross Profit was 632.14 + 584.656 + 571.661 + 519.585 = $2,308 Mil.
Total Current Assets was $1,375 Mil.
Total Assets was $3,492 Mil.
Property, Plant and Equipment(Net PPE) was $779 Mil.
Depreciation, Depletion and Amortization(DDA) was $113 Mil.
Selling, General, & Admin. Expense(SGA) was $938 Mil.
Total Current Liabilities was $1,148 Mil.
Long-Term Debt & Capital Lease Obligation was $1,908 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)
=(663.893 / 3788.309) / (709.321 / 3919.709)
=0.175248 / 0.180963
=0.9684

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)
=(2308.042 / 3919.709) / (2241.286 / 3788.309)
=0.58883 / 0.591632
=0.9953

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 - (1230.203 + 803.374) / 3355.555) / (1 - (1375.089 + 778.6) / 3492.395)
=0.393967 / 0.38332
=1.0278

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
=3788.309 / 3919.709
=0.9665

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))
=(113.023 / (113.023 + 778.6)) / (121.164 / (121.164 + 803.374))
=0.126761 / 0.131054
=0.9672

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)
=(904.106 / 3788.309) / (938.461 / 3919.709)
=0.238657 / 0.239421
=0.9968

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)
=((1888.62 + 1181.082) / 3355.555) / ((1908.48 + 1147.731) / 3492.395)
=0.914812 / 0.875105
=1.0454

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
=(788.778 - -28.589 - 965.874) / 3355.555
=-0.044257

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.

Mettler-Toledo International has a M-score of -2.76 suggests that the company is unlikely to be a manipulator.


Mettler-Toledo International Beneish M-Score Related Terms

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Mettler-Toledo International (Mettler-Toledo International) Business Description

Traded in Other Exchanges
Address
1900 Polaris Parkway, Columbus, OH, USA, 43240
Mettler-Toledo supplies weighing and precision instruments to customers in the life sciences, industrial, and food retail industries. Its products include laboratory and retail scales, pipettes, pH meters, thermal analysis equipment, titrators, metal detectors, and X-ray analyzers. Mettler leads the market for weighing instrumentation and controls more than 50% of the market for lab balances. The business is geographically diversified, with sales distribution roughly as follows: United States around 30% of sales, Europe around 30%, China around 20%, and the rest of the world around 20%.
Executives
Roland D Diggelmann director 3950 SOUTH COUNTRY CLUB ROAD, SUITE 470, TUCSON AZ 85714
Wolfgang Wienand director IM LANGACHER 44, GREIFENSEE V8 8606
Gerry Keller officer: Head of Process Analytics 1900 POLARIS PKWY, COLUMBUS OH 43240
Wong Ann Ping Richard officer: Head of Asia/Pac Market Orgs IM LANGACHER 44, GREIFENSEE V8 8606
Shawn Vadala officer: Chief Financial Officer 1900 POLARIS PKWY, COLUMBUS OH 43240
Wah-hui Chu director IM LANGACHER, GREIFENSEE V8 8606
Oliver A Filliol director METTLER TOLEDO INTL INC, IM LANGACHER 44, GREIFENSEE V8 8606
Christian Magloth officer: Head of Human Resources IM LANGACHER, GREIFENSEE V8 8608
Robert F Spoerry director METTLER TOLEDO INTL INC, IM LANGACHER, GREIFENSEE V8 99999
Peter Aggersbjerg officer: Head of Divisions & Operations 1900 POLARIS PKWY, COLUMBUS OH 43240
Ingrid Zhang director IM LANGACHER 44, GREIFENSEE V8 8606
De La Guerroniere Marc officer: Head of Eur & NA Market Orgs IM LANGACHER, GREIFENSEE V8 8606
Elisha W Finney director C/O VARIAN MEDICAL SYSTEMS, INC, 3100 HANSEN WAY M/S E-327, PALO ALTO CA 94304
Michael A Kelly director 1900 POLARIS PKWY, COLUMBUS OH 43240
Patrick Kaltenbach officer: President and CEO IM LANGACHER 44, GREIFENSEE V8 8606