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Ridge-i (TSE:5572) FCF Yield % : 3.65 (As of Apr. 23, 2025)


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What is Ridge-i FCF Yield %?

FCF Yield % is calculated as Free Cash Flow divided by Market Capitalization. It is a financial solvency ratio that compares the free cash flow a company is expected to earn against its market value.

As of today, Ridge-i's Trailing 12-Month Free Cash Flow is 円339 Mil, and Market Cap is 円9,289 Mil. Therefore, Ridge-i's FCF Yield % for today is 3.65%.

The historical rank and industry rank for Ridge-i's FCF Yield % or its related term are showing as below:

TSE:5572' s FCF Yield % Range Over the Past 10 Years
Min: 0   Med: 0   Max: 3.65
Current: 3.65


During the past 4 years, the highest FCF Yield % of Ridge-i was 3.65%. The lowest was 0.00%. And the median was 0.00%.

TSE:5572's FCF Yield % is ranked better than
66.41% of 2822 companies
in the Software industry
Industry Median: 0.845 vs TSE:5572: 3.65

Ridge-i's FCF Margin % for the quarter that ended in Jan. 2025 was 0.00%.


Ridge-i FCF Yield % Historical Data

The historical data trend for Ridge-i's FCF Yield % 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.

Ridge-i FCF Yield % Chart

Ridge-i Annual Data
Trend Jul21 Jul22 Jul23 Jul24
FCF Yield %
- - -2.23 4.00

Ridge-i Quarterly Data
Jul21 Jul22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Jan25
FCF Yield % Get a 7-Day Free Trial Premium Member Only Premium Member Only - - - - -

Competitive Comparison of Ridge-i's FCF Yield %

For the Software - Infrastructure subindustry, Ridge-i's FCF Yield %, along with its competitors' market caps and FCF Yield % 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.


Ridge-i's FCF Yield % Distribution in the Software Industry

For the Software industry and Technology sector, Ridge-i's FCF Yield % distribution charts can be found below:

* The bar in red indicates where Ridge-i's FCF Yield % falls into.


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Ridge-i FCF Yield % Calculation

FCF Yield % is a financial solvency ratio that compares the free cash flow a company is expected to earn against its market value.

Ridge-i's FCF Yield % for the fiscal year that ended in Jul. 2024 is calculated as

FCF Yield %=Free Cash Flow / Market Cap
=339.033 / 8474.895
=4.00%

Ridge-i's annualized FCF Yield % for the quarter that ended in Jan. 2025 is calculated as

FCF Yield %=Free Cash Flow * Annualized Factor / Market Cap
=0 * 4 / 9585.342
=0.00%

* 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.


Ridge-i FCF Yield % Explanation

Similar to Earnings Yield %, FCF Yield % is financial solvency ratio. A lower ratio suggests a less attractive investment, indicating that investors might not receive substantial returns in proportion to their investment. Conversely, a high free cash flow yield signals that a company generates sufficient cash to comfortably meet its debts, obligations, and dividend payments, making it a promising investment choice.


Ridge-i FCF Yield % Related Terms

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Ridge-i Business Description

Traded in Other Exchanges
N/A
Address
1-6-1 Otemachi, Otemachi Building 438, Chiyoda-ku,, Tokyo, JPN, 100-0004
Ridge-i Inc is engaged in the consulting and development of AI/deep learning technology; provision of joint ventures, licenses, maintenance models, products developed in-house and provision of AI analysis solutions using satellite data.

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