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
Ross Stores has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.
The historical rank and industry rank for Ross Stores's Mohanram G-Score or its related term are showing as below:
BSP:ROST34'
s Mohanram G-Score Range Over the Past 10 Years
Min: 1 Med: 7 Max: 7
Current: 1
During the past 13 years, the highest Piotroski G-score of Ross Stores was 7. The lowest was 1. And the median was 7.
Ross Stores Mohanram G-Score Historical Data
The historical data trend for Ross Stores'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.
Competitive Comparison of Ross Stores's Mohanram G-Score
For the Apparel Retail subindustry, Ross Stores'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.
Ross Stores's Mohanram G-Score Distribution in the Retail - Cyclical Industry
For the Retail - Cyclical industry and Consumer Cyclical sector, Ross Stores's Mohanram G-Score distribution charts can be found below:
* The bar in red indicates where Ross Stores's Mohanram G-Score falls into.
Ross Stores Mohanram G-Score Calculation
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.
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
Ross Stores has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.
Ross Stores (BSP:ROST34) 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.
Ross Stores Mohanram G-Score Related Terms
Thank you for viewing the detailed overview of Ross Stores's Mohanram G-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
Ross Stores operates as an off-price apparel and accessories retailer with the majority of its sales derived from its Ross Dress for Less banner. The company opportunistically procures excess brand-name merchandise made available via manufacturing overruns and retail liquidation sales at a 20%-60% discount to full prices. As such, its stores are often filled with a vast array of stock-keeping units, each with minimal product depth that creates a treasure hunt shopping experience. The firm's more than 1,750 Ross Dress for Less stores are primarily located in densely populated suburban communities and typically serve middle-income consumers. Ross also operates about 350 DD's Discounts chains targeting lower-income shoppers.
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