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RealNetworks (RealNetworks) Mohanram G-Score : 0 (As of Sep. 2022)


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What is RealNetworks Mohanram G-Score?

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

RealNetworks has an G-score of 0. It is a bad or low score, which tends to have negative absolute returns.

The historical rank and industry rank for RealNetworks's Mohanram G-Score or its related term are showing as below:


RealNetworks Mohanram G-Score Historical Data

The historical data trend for RealNetworks'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.

* Premium members only.

RealNetworks Mohanram G-Score Chart

RealNetworks Annual Data
Trend Dec12 Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21
Mohanram G-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 4.00 3.00 3.00 3.00 2.00

RealNetworks Quarterly Data
Dec17 Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22
Mohanram G-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 3.00 2.00 3.00 2.00 3.00

RealNetworks 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.

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

RealNetworks has an G-score of 0. It is a bad or low score, which tends to have negative absolute returns.

RealNetworks  (NAS:RNWK) 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.


RealNetworks Mohanram G-Score Related Terms

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RealNetworks (RealNetworks) Business Description

Traded in Other Exchanges
N/A
Address
1501 First Avenue South, Suite 600, Seattle, WA, USA, 98134
RealNetworks Inc creates a new generation of products that employ artificial intelligence and machine learning to enhance and secure daily lives. Real's portfolio includes SAFR, the computer vision platform for live video; KONTXT, an NLP (Natural Language Processing) platform for text and multi-media analysis; and leveraging its digital media expertise, a mobile games business focused on the large free-to-play segment.
Executives
Brian Mccain officer: CFO 1501 1ST AVENUE S, STE 600, SEATTLE WA 98134
Caldwell Mill Opportunity Fund, Llc 10 percent owner 2609 CALDWELL MILL LANE, BIRMINGHAM AL 35243
Satterfield Thomas A Jr 10 percent owner 2609 CALDWELL MILL LN, BIRMINGHAM AL 35243
A. G. Family L.p. 10 percent owner 571 MCDONALD ROAD, ROCKWALL TX 75032
Tomsat Investment & Trading Co., Inc. 10 percent owner 15 COLLEY COVE DRIVE, GULF BREEZE FL 32561
Rebecca S Satterfield 10 percent owner 15 COLLEY COVE DRIVE, GULF BREEZE FL 32561
Michael A Cooley officer: President, Messaging 1501 1ST AVENUE S, STE. 600, SEATTLE WA 98134
Christine Chambers officer: CFO 1501 1ST AVENUE SOUTH, STE. 600, SEATTLE WA 98134
Judd Lee officer: Chief Financial Officer 1501 1ST AVENUE SOUTH, SUITE 600, SEATTLE WA 98134
Michael Ensing officer: Interim CFO 1501 1ST AVENUE SOUTH, SUITE 600, SEATTLE WA 98134
Erik Prusch director C/O CLEARWIRE CORPORATION, 4400 CARILLON POINT, KIRKLAND WA 98033
Michael Parham officer: SVP General Counsel 2601 ELLIOTT AVE, SEATTLE WA 98121
Massimiliano Pellegrini officer: Pres, Mobile Entertainment C/O REALNETWORKS, INC., 2601 ELLIOTT AVE., SEATTLE WA 98121
Robert Glaser director, 10 percent owner, officer: Chairman and CEO 1111 THIRD AVENUE, SUITE 2900, SEATLE WA 98101
Cary Baker officer: SVP, CFO & Treasurer 1501 FIRST AVENUE SOUTH, SUITE 600, SEATTLE WA 98134