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Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.
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.
The historical rank and industry rank for Cerebras Systems's Peter Lynch Fair Value or its related term are showing as below:
CBRS's Price-to-Peter-Lynch-Fair-Value is not ranked *
in the Semiconductors industry.
Industry Median: 2.5 * 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.
Cerebras Systems (NAS:CBRS) 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.
Cerebras Systems'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
=
180.46
/
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.
Cerebras Systems Peter Lynch Fair Value Related Terms
Cerebras Systems Peter Lynch Fair Value Historical Data
* Premium members only.
The historical data trend for Cerebras Systems's Peter Lynch Fair Value 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.
CBRS vs GFS, CRDO, ON: Peter Lynch Fair Value Comparison
For the Semiconductors subindustry, Cerebras Systems'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.
Cerebras Systems Price-to-Peter-Lynch-Fair-Value vs Semiconductors Industry
For the Semiconductors industry and Technology sector, Cerebras Systems's Price-to-Peter-Lynch-Fair-Value distribution charts can be found below:
* The bar in red indicates where Cerebras Systems's Price-to-Peter-Lynch-Fair-Value falls into.
Cerebras Systems's EPS without NRI for the trailing twelve months (TTM) uses the latest annual data, which was $-1.28.
* Note that for companies that do not have enough quarterly data to calculate the 5-Year TTM EBITDA Growth Rate, we use the annual data for the calculation.
* 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.
Cerebras Systems Inc is an AI company. It designs the world's fastest AI infrastructure for training and inference. The company builds the world's largest semiconductor as well as the AI systems to power, cool, and feed the processors data. It develops software to link these systems together into industry-leading supercomputers that are simple to use even for the most complicated AI work, using familiar ML frameworks like PyTorch. Customers use its supercomputers to train industry-leading models. The company uses these supercomputers to run inference at speeds unobtainable from alternative commercial technologies. It delivers these AI capabilities to its customers on-premise and via the cloud. The company generates the majority of its revenue from the USA.
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