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GMM (Global Mofy AI) Capex-to-Revenue : 0.73 (As of Sep. 2024)


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What is Global Mofy AI Capex-to-Revenue?

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue.

Global Mofy AI's Capital Expenditure for the six months ended in Sep. 2024 was $-15.57 Mil. Its Revenue for the six months ended in Sep. 2024 was $21.44 Mil.

Hence, Global Mofy AI's Capex-to-Revenue for the six months ended in Sep. 2024 was 0.73.


Global Mofy AI Capex-to-Revenue Historical Data

The historical data trend for Global Mofy AI's Capex-to-Revenue 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.

Global Mofy AI Capex-to-Revenue Chart

Global Mofy AI Annual Data
Trend Sep20 Sep21 Sep22 Sep23 Sep24
Capex-to-Revenue
- - - 0.27 0.88

Global Mofy AI Semi-Annual Data
Sep20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23 Mar24 Sep24
Capex-to-Revenue Get a 7-Day Free Trial Premium Member Only - 0.08 0.44 1.05 0.73

Competitive Comparison of Global Mofy AI's Capex-to-Revenue

For the Information Technology Services subindustry, Global Mofy AI's Capex-to-Revenue, along with its competitors' market caps and Capex-to-Revenue 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.


Global Mofy AI's Capex-to-Revenue Distribution in the Software Industry

For the Software industry and Technology sector, Global Mofy AI's Capex-to-Revenue distribution charts can be found below:

* The bar in red indicates where Global Mofy AI's Capex-to-Revenue falls into.


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Global Mofy AI Capex-to-Revenue Calculation

Global Mofy AI's Capex-to-Revenue for the fiscal year that ended in Sep. 2024 is calculated as

Capex-to-Revenue=- Capital Expenditure / Revenue
=- (-36.57) / 41.361
=0.88

Global Mofy AI's Capex-to-Revenue for the quarter that ended in Sep. 2024 is calculated as

Capex-to-Revenue=- Capital Expenditure / Revenue
=- (-15.573) / 21.442
=0.73

* 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.


Global Mofy AI  (NAS:GMM) Capex-to-Revenue Explanation

Capex-to-Revenue measures a company's investments in physical assets such as property, industrial buildings or equipment to its revenue. The ratio shows how aggressively the company reinvests its revenue back into productive assets. However, a high ratio potentially indicates that the company has invested too much in innovation and infrastructure, taking up funds that could be used to boost productivity and increase revenue. Therefore, a high Capex to Revenue Ratio could be a positive or a negative sign depending on how effectively a company converts those investments into future earnings.


Global Mofy AI Capex-to-Revenue Related Terms

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Global Mofy AI Business Description

Traded in Other Exchanges
N/A
Address
No. A12, Xidian Memory Cultural and Creative Town, No. 102, 1st Floor, Gaobeidian Township, Chaoyang District, Beijing, CHN, 100000
Global Mofy AI Ltd operates as a technology solutions provider engaged in virtual content production, digital marketing, and digital assets development for the metaverse industry. It utilizes its proprietary Mofy Lab technology platform which consists of three-dimensional (3D) rebuilt technology and artificial intelligence (AI) interactive technology to create a 3D high-definition virtual version of a wide range of physical world objects such as human, animal, and scenes which can be used in different applications.