Peter Lynch Fair Value applies to growing companies. The ideal range for the growth rate is between 10 - 20% a year. Peter Lynch thinks that the fair P/E value for a growth company equals its growth rate, that is PEG = 1. The earnings here is trailing twelve month (TTM) earnings. For non-bank companies, the growth rate we use is the average growth rate for EBITDA per share over the past 5 years. For Banks, the growth rate we use is the average growth rate for Book Value per share over the past 5 years. If 5-Year Growth Rate is greater than 25% a year, we use 25. If 5-Year Growth Rate is smaller than 5% a year, we do not calculate Peter Lynch Fair Value.
GBAIF's Price-to-Peter-Lynch-Fair-Value is not ranked *
in the Real Estate industry.
Industry Median: 0.7 * Ranked among companies with meaningful Price-to-Peter-Lynch-Fair-Value only.
Note: Please don't confuse Peter Lynch Fair Value with the value reached in Peter Lynch Chart.
Greater Bay Area AI Computing Tech Co (OTCPK:GBAIF) Peter Lynch Fair Value Explanation
Peter Lynch Fair Value applies to growing companies. The ideal range for the growth rate is between 10 - 20% a year.
Peter Lynch thinks that the fair P/E value for a growth company equals its growth rate, that is PEG = 1. The earnings here is trailing twelve month (TTM) earnings. For non-bank companies, the growth rate we use is the average growth rate for EBITDA per share over the past 5 years. For Banks, the growth rate we use is the average growth rate for Book Value per share over the past 5 years.
Please don't confuse Peter Lynch Fair Value with the value reached in Peter Lynch Chart. In Peter Lynch chart, a fixed P/E ratio of 15 is used to draw the Earnings Line. Therefore the value reached has a P/E ratio of 15. But in Peter Lynch Fair Value calculation, P/E equals to the growth rate of EBITDA per share over the past 5 years, which is 0 instead of 15 in this case.
Greater Bay Area AI Computing Tech Co's Price to Peter Lynch Fair Value Ratio for today is calculated as
Price to Peter Lynch Fair Value
=
Share Price
/
Peter Lynch Fair Value
=
0.19
/
N/A
=
N/A
* 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.
Greater Bay Area AI Computing Tech Co Peter Lynch Fair Value Related Terms
Greater Bay Area AI Computing Tech Co Peter Lynch Fair Value Historical Data
* 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.
Greater Bay Area AI Computing Tech Co Peter Lynch Fair Value Chart
Greater Bay Area AI Computing Tech Co Peter Lynch Fair Value Competitor Comparison
For the Real Estate - Development subindustry, Greater Bay Area AI Computing Tech Co's Price-to-Peter-Lynch-Fair-Value, along with its competitors' market caps and Price-to-Peter-Lynch-Fair-Value 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.
Greater Bay Area AI Computing Tech Co Price-to-Peter-Lynch-Fair-Value vs Real Estate Industry
For the Real Estate industry and Real Estate sector, Greater Bay Area AI Computing Tech Co's Price-to-Peter-Lynch-Fair-Value distribution charts can be found below:
* The bar in red indicates where Greater Bay Area AI Computing Tech Co's Price-to-Peter-Lynch-Fair-Value falls into.
For company reported semi-annually, GuruFocus uses latest annual data as the TTM data. Greater Bay Area AI Computing Tech Co's EPS without NRI for the trailing twelve months (TTM) ended in Dec. 2025 was $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.
** Please be aware that the 5-Year TTM EBITDA Growth Rate is calculated based on TTM data over the last 5 years. For quarterly reported companies, the TTM data adds up the quarterly data reported by the company within the most recent 12 months. For companies that report semi-annually, annually, or do not have enough quarterly data, GuruFocus uses the annual data as the TTM data.
If 5-Year Earnings Growth Rate is greater than 25% a year, we use 25.
If 5-Year Earnings Growth Rate is smaller than 5% a year, we do not calculate Peter Lynch Fair Value.
Please note that we use the 5-year average growth rate of EBITDA per share as the growth rate for non-bank companies, as EBITDA growth is subject to less manipulations than net earnings per share. For banks, we use the 5-year average growth rate of Book Value per share as the growth rate. The reason is that EBITDA is not applicable to Banks and Book value is a relative important measurement for Banks. In the calculation, PEG=1 because Peter Lynch thinks that the fair P/E ratio of the growth stock is equal to its earnings growth rate.
Greater Bay Area AI Computing Tech Co Business Description
Greater Bay Area AI Computing Tech Co Ltd, formerly Guangdong Hong Kong Greater Bay Area Holdings Ltd is engaged in the development of residential and urban renewal projects in the Greater Bay Area. The principal activities of the Group are the development, sales, and operation of residential properties, commercial trade and logistics centers, and trading business in Mainland China. The segments of the company are Infrastructure business, AI computing power services, and Integration and delivery of high-performance server equipment. It derives maximum revenue from AI computing power services segment engaged in the construction, delivery, and operation of large-scale training and inference computing clusters. It has a geographic presence in Hong Kong, Macao, Taiwan, Chinese mainland.
30GF Score
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