CGAC (Code Green Apparel) Cyclically Adjusted PS Ratio: (As of Jul. 09, 2026)


What is Code Green Apparel Cyclically Adjusted PS Ratio?

Code Green Apparel does not have a history long enough to calculate Cyclically Adjusted Revenue per Share. Therefore GuruFocus does not calculate Cyclically Adjusted PS Ratio for this company.

Shiller PE for Stocks: The True Measure of Stock Valuation


Code Green Apparel  (OTCPK:CGAC) Cyclically Adjusted PS Ratio Explanation

Compared with the regular PS Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PS Ratio smoothed out the fluctuations of revenue during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Cyclically Adjusted PS Ratio should give similar results to regular PS Ratio.


Code Green Apparel Cyclically Adjusted PS Ratio Related Terms


Code Green Apparel Cyclically Adjusted PS Ratio Historical Data

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The historical data trend for Code Green Apparel's Cyclically Adjusted PS Ratio 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.

Code Green Apparel Cyclically Adjusted PS Ratio Chart

Code Green Apparel Annual Data
Trend Dec07 Dec08 Dec09 Dec10 Dec11 Dec15 Dec16
Cyclically Adjusted PS Ratio
Get a 7-Day Free Trial 0.00 0.00 0.00 0.00 0.00

Code Green Apparel Quarterly Data
Dec09 Mar10 Jun10 Sep10 Dec10 Mar11 Jun11 Sep11 Dec11 Mar15 Jun15 Sep15 Dec15 Mar16 Jun16 Sep16 Dec16 Mar17 Jun17 Sep17
Cyclically Adjusted PS Ratio 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 0.00 0.00 0.00 0.00 0.00

Code Green Apparel Cyclically Adjusted PS Ratio Competitor Comparison

For the Capital Markets subindustry, Code Green Apparel's Cyclically Adjusted PS Ratio, along with its competitors' market caps and Cyclically Adjusted PS Ratio 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.


Code Green Apparel Cyclically Adjusted PS Ratio vs Capital Markets Industry

For the Capital Markets industry and Financial Services sector, Code Green Apparel's Cyclically Adjusted PS Ratio distribution charts can be found below:

* The bar in red indicates where Code Green Apparel's Cyclically Adjusted PS Ratio falls into.



Code Green Apparel Cyclically Adjusted PS Ratio Calculation

Like the Shiller PE Ratio, the Cyclically Adjusted PS Ratio takes the Revenue per Share from the past 10 years, adjusts it for inflation, and then calculates the average. This average is then used for the P/S calculation. Because it considers this 10-year average, it's often referred to as the CAPS Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted PS Ratio.

Code Green Apparel does not have a history long enough to calculate Cyclically Adjusted Revenue per Share. Therefore GuruFocus does not calculate Cyclically Adjusted PS Ratio for this company.


Code Green Apparel Business Description

Address 12600 Hill Country Boulevard, Suite R-275, Bee Cave, TX, USA, 78738
Code Green Apparel Corp is a Digital Energy Company. The company focuses on development of containerized and modular AI infrastructure designed to address the growing energy, cooling, and deployment constraints facing AI data centers, as AI infrastructure faces growing constraints driven by power availability and rising electrical costs.