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Getty Images Holdings (NYSE:GETY) Mohanram G-Score

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Getty Images Holdings does not have enough data to calculate Mohanram G-Score.


Getty Images Holdings Mohanram G-Score Historical Data

The historical data trend for Getty Images Holdings'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.

Getty Images Holdings Annual Data
Trend Dec20 Dec21 Dec22
Mohanram G-Score
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Getty Images Holdings Quarterly Data
Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
Mohanram G-Score Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only N/A N/A N/A N/A N/A

Competitive Comparison

For the Internet Content & Information subindustry, Getty Images Holdings'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.


Getty Images Holdings Mohanram G-Score Distribution

For the Interactive Media industry and Communication Services sector, Getty Images Holdings's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where Getty Images Holdings's Mohanram G-Score falls into.



Getty Images Holdings 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

Getty Images Holdings  (NYSE:GETY) 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.


Getty Images Holdings Mohanram G-Score Related Terms

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Getty Images Holdings (NYSE:GETY) Business Description

Traded in Other Exchanges
N/A
Address
605 5th Avenue South, Suite 400, Seattle, WA, USA, 98104
Getty Images Holdings Inc is engaged in the core mission of bringing the world's creative and editorial visual content solutions to its customers to engage their audiences. the company has developed market enhancements across e-commerce, content subscriptions, user-generated content, diverse and inclusive content, and proprietary research alongside investment in its technology platform, which includes artificial intelligence and machine learning-driven search functionality and image editing and integrated APIs, to become a trusted industry leader in the visual content. Geographically the company operates in the Americas, Europe, the Middle East, Africa, and Asia-Pacific, out of which a majority of its revenue is generated from the Americas.
Executives
Jonathan Gear director C/O IHS MARKIT LTD., 4TH FLOOR, ROPEMAKE, 25 ROPEMAKER STREET, LONDON X0 EC2Y 9LY
Chinh Chu director, officer: Chief Executive Officer THE BLACKSTONE GROUP, 345 PARK AVENUE, NEW YORK NY 10154
James Quella director C/O CATALENT, INC., 14 SCHOOLHOUSE ROAD, SOMERSET NJ 08822
Jason K Giordano officer: Executive VP, Corp. Develop. 345 PARK AVENUE, 31ST FLOOR, NEW YORK NY 10154
Joel Alsfine director 2905 PREMIERE PARKWAY, SUITE 300, DULUTH GA 30097
Matthew Skurbe officer: Chief Financial Officer C/O CC NEUBERGER PRINCIPAL HOLDINGS II, 200 PARK AVE, 58TH FLOOR, NEW YORK NY 10166
Douglas Newton officer: Executive VP, Corp. Develop. 1701 VILLAGE CENTER CIRCLE, LAS VEGAS NV 89134
Charles Kantor director C/O NEUBERGER BERMAN, 1290 AVENUE OF THE AMERICAS, NEW YORK NY 10104
Cc Neuberger Principal Holdings Ii Sponsor Llc 10 percent owner C/O CC CAPITAL, 200 PARK AVENUE, 58TH FLOOR, NEW YORK NY 10166