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Mohanram G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. Companies have higher G-score tends to generate higher return. According to his study, the best growth stocks that have a G-Score greater than 6 tend to beat the market, while those with a G-Score lower than 1 tend to have negative absolute returns.
Thus, the zones of discrimination were as such:
Good or high score = 6, 7, 8
Bad or low score = 0, 1
TSS has an G-score of 5.
The historical rank and industry rank for TSS's Mohanram G-Score or its related term are showing as below:
During the past 13 years, the highest Piotroski G-score of TSS was 5. The lowest was 1. And the median was 3.
The historical data trend for TSS's Mohanram G-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.
TSS Annual Data | |||||||||||||||||||||
Trend | Dec14 | Dec15 | Dec16 | Dec17 | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | |||||||||||
Mohanram G-Score | Get a 7-Day Free Trial |
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5.00 | 5.00 | 1.00 | 4.00 | 2.00 |
TSS Quarterly Data | ||||||||||||||||||||
Dec19 | Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | |
Mohanram G-Score | Get a 7-Day Free Trial |
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5.00 | 2.00 | 4.00 | 2.00 | 5.00 |
For the Information Technology Services subindustry, TSS's Mohanram G-Score, along with its competitors' market caps and Mohanram G-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.
For the Software industry and Technology sector, TSS's Mohanram G-Score distribution charts can be found below:
* The bar in red indicates where TSS's Mohanram G-Score falls into.
The calculation of the Mohanram G-score consists of eight criteria. Assign one point for each criterion met, then add up all the points to get the G-Score.
Profitability
Question 1. Return on Assets (ROA)
ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. It measures how well a company uses its asset to generate earnings.
Score 1 if ROA > ROA Industry Median, 0 otherwise.
Question 2. Cash ROA
Cash ROA equals to Cash Flow from Operations divided by average Total Assets. It measures how well a company uses its asset to generate cash.
Score 1 if Cash ROA > Cash ROA Industry Median, 0 otherwise.
Question 3. CFO and Net Income
Score 1 if CFO > Net Income, 0 otherwise.
Earnings Predictability
Question 4. Earnings Variability
Earnings Variability is measured as the variance of a firm's ROA in the past five years.
Score 1 if Earnings Variability < Earnings Variability Industry Median, 0 otherwise.
Question 5. Sales Growth Variability
Sales Growth Variability is measured as the 5-year variance in sales growth.
Score 1 if Sales Growth Variability < Sales Growth Variability Industry Median, 0 otherwise.
Accounting Conservatism
Question 6. Research & Development Intensity
Research & Development Intensity is calcualted by Research & Development divided by the beginning Total Assets.
Score 1 if Research & Development Intensity > Research & Development Intensity Industry Median, 0 otherwise.
Question 7. CAPEX Intensity
CAPEX Intensity is calcualted by Capital Expenditure divided by the beginning Total Assets.
Score 1 if CAPEX Intensity > CAPEX Intensity Industry Median, 0 otherwise.
Question 8. Advertising Expenditure Intensity
Advertising Expenditure Intensity is calcualted by Advertising Expenditure divided by the beginning Total Assets. Note that Advertising Expenditure is not reported as a seperate line item for many companies, thus Selling, General, & Admin. Expense is used in this calculation.
Score 1 if Advertising Expenditure Intensity > Advertising Expenditure Intensity Industry Median, 0 otherwise.
* 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.
* Note that all the Industry Median used for comparison in his original research, are substituted with Sector Median due to the limitation of data within certain countries.
Good or high score = 6, 7, 8
Bad or low score = 0, 1
TSS has an G-score of 5.
TSS (NAS:TSSI) Mohanram G-Score Explanation
Partha Mohanram is the John H. Watson Chair in Value Investing at Rotman and the Acting Vice-Dean of Research Strategy and Resources.
In 2000, he wrote a research paper called "Separating Winners from Losers Among Low Book-to-Market Stocks Using Financial Statement Analysis".
This paper tests whether a strategy based on financial statement analysis of low book-to-market (growth) stocks is successful in differentiating between winners and losers in terms of future stock performance. Based on the research, a strategy based on buying high G-score (6, 7 or 8) firms and shorting low G-score (0 or 1) firms consistently earns significant excess returns. Further, the results do not support a risk based explanation for the book-to-market effect as the strategy returns positive returns in all years, and firms that ex-ante appear less risky have better future returns.
To conclude, one can use a modified fundamental analysis strategy (G-score) to identify mispricing and earn substantial abnormal returns.
Thank you for viewing the detailed overview of TSS's Mohanram G-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
Peter H Woodward | director | 30 WEST 63RD STREET, SUITE 18G, NEW YORK NY 10023 |
Kieran Brennan | officer: Sr. V.P., Sales & Marketing | 5131 BRIARGROVE LANE, DALLAS TX 75287 |
Darryll E Dewan | director, officer: President and CEO | 4400 VIA ESPERANZA, SANTA BARBARA CA 93110 |
Richard M. Metzler | director | 1805 WEST AVENUE, AUSTIN TX 78701 |
Matt Crichton | officer: Sr. V.P., Business Development | 101 LOCHINVAR COURT, CARY NC 27511 |
Gerard J Gallagher | director, 10 percent owner, officer: President and COO | 7226 LEE DEFOREST DRIVE, SUITE 104, COLUMBIA MD 21046 |
Glen Ikeda | 10 percent owner | P.O. BOX 3306, AUBURN CA 95604 |
John K Penver | officer: Interim CFO | 3709 HUMBLE COVE, AUSTIN TX 78730 |
Martin T. Olsen | officer: Exec. VP, Sales & Marketing | 2128 W. BRAKER LANE BK12, AUSTIN TX 78758 |
Thomas P Rosato | director, 10 percent owner, officer: Chief Executive Officer | 7226 LEE DEFOREST DRIVE, SUITE 104, COLUMBIA MD 21046 |
Maura Mcnerney | officer: Chief Financial Officer | 7226 LEE DEFOREST DRIVE, SUITE 104, COLUMBIA MD 21046 |
Ken Schwarz | officer: Chief Financial Officer | 14901 BOGLE DRIVE, SUITE 300, CHANTILLY VA 20151 |
Daniel J Phelps | director | 1001 O'BRIEN DRIVE, MENLO PARK CA 94025 |
Anthony Angelini | director, officer: Chief Executive Officer | |
Tarsier Nanocap Value Fund, Lp | 10 percent owner, other: see footnote #1 | C/O HUMMINGBIRD MANAGEMENT, LLC, 145 E. 57TH STREET, 8TH FLOOR, NEW YORK NY 10022 |
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