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Railtown AI Technologies (XCNQ:RAIL) Earnings Yield (Joel Greenblatt) % : -24.33% (As of Dec. 2023)


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What is Railtown AI Technologies Earnings Yield (Joel Greenblatt) %?

Railtown AI Technologies's Enterprise Value for the quarter that ended in Dec. 2023 was C$9.99 Mil. Railtown AI Technologies's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 was C$-2.43 Mil. Railtown AI Technologies's Earnings Yield (Joel Greenblatt) for the quarter that ended in Dec. 2023 was -24.33%.

The historical rank and industry rank for Railtown AI Technologies's Earnings Yield (Joel Greenblatt) % or its related term are showing as below:

XCNQ:RAIL' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: -29.53   Med: 0   Max: 714.29
Current: -5.73

During the past 4 years, the highest Earnings Yield (Joel Greenblatt) of Railtown AI Technologies was 714.29%. The lowest was -29.53%. And the median was 0.00%.

XCNQ:RAIL's Earnings Yield (Joel Greenblatt) % is ranked worse than
74.08% of 2859 companies
in the Software industry
Industry Median: 1.27 vs XCNQ:RAIL: -5.73

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

A better indicator of the attractiveness of an investment which takes growth into account is the Forward Rate of Return (Yacktman) %. Railtown AI Technologies's Forward Rate of Return (Yacktman) % for the quarter that ended in Dec. 2023 was 0.00%. The Forward Rate of Return uses the normalized Free Cash Flow of the past seven years, and considers growth. The forward rate of return can be thought of as the return that investors buying the stock today can expect from it in the future.


Railtown AI Technologies Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for Railtown AI Technologies's Earnings Yield (Joel Greenblatt) % 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.

Railtown AI Technologies Earnings Yield (Joel Greenblatt) % Chart

Railtown AI Technologies Annual Data
Trend Sep20 Sep21 Sep22 Sep23
Earnings Yield (Joel Greenblatt) %
- - -13.07 -14.64

Railtown AI Technologies Quarterly Data
Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Earnings Yield (Joel Greenblatt) % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -14.81 -18.69 -10.94 -14.64 -24.33

Competitive Comparison of Railtown AI Technologies's Earnings Yield (Joel Greenblatt) %

For the Software - Infrastructure subindustry, Railtown AI Technologies's Earnings Yield (Joel Greenblatt) %, along with its competitors' market caps and Earnings Yield (Joel Greenblatt) % 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.


Railtown AI Technologies's Earnings Yield (Joel Greenblatt) % Distribution in the Software Industry

For the Software industry and Technology sector, Railtown AI Technologies's Earnings Yield (Joel Greenblatt) % distribution charts can be found below:

* The bar in red indicates where Railtown AI Technologies's Earnings Yield (Joel Greenblatt) % falls into.



Railtown AI Technologies Earnings Yield (Joel Greenblatt) % Calculation

In his book, The Little That Beat the Market, hedge fund manager Joel Greenblatt defines Earnings Yield as operating income divided by enterprise value.

Railtown AI Technologiess Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Sep. 2023 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=-2.118/14.46832
=-14.64 %

Railtown AI Technologies's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was C$-2.43 Mil.



Railtown AI Technologies  (XCNQ:RAIL) Earnings Yield (Joel Greenblatt) % Explanation

Joel Greenblatt defines the earnings yield using the above equation because it more accurately reflects the company's profitability relative to its stock price. Items like interest payment and tax etc. are not directly related to the company's operational profitability.

Enterprise Value instead of market cap (share price) is used in the calculation because it is the real price stock and bond investors together pay for the company.


Be Aware

Joel Greenblatt's definition of earnings yield has the same problems the regular earnings yield does. It does not consider the growth of the company. It only looks at one-year's business operation. For cyclical companies, the earnings yield is usually highest at the peak of the business cycle. But these earnings are rarely sustainable.

Forward Rate of Return (Yacktman) % based on Don Yacktman's definition is a better measure of the expected rate of return for a stock.


Railtown AI Technologies Earnings Yield (Joel Greenblatt) % Related Terms

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Railtown AI Technologies (XCNQ:RAIL) Business Description

Industry
Traded in Other Exchanges
Address
8337 Eastlake Drive, Unit 104, Burnaby, BC, CAN, V5A 4W2
Railtown AI Technologies Inc is engaged in the business of developing a software-as-a-service artificial intelligence solution that helps software development teams detect, analyze and fix errors quickly in their development projects. Its Platform allows for real-time exception monitoring and alerting which permits developers, team managers and executives to quickly locate, understand and correct errors in their software development projects and their root causes, thereby preventing system and application downtimes.
Executives
Cory Brandolini 10% Security Holder, Director