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SeqLL (SEQL) Earnings Yield (Joel Greenblatt) % : -303.03% (As of Dec. 2023)


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What is SeqLL Earnings Yield (Joel Greenblatt) %?

SeqLL's Enterprise Value for the quarter that ended in Dec. 2023 was $1.81 Mil. SeqLL's EBIT for the trailing twelve months (TTM) ended in Dec. 2023 was $-5.54 Mil. SeqLL's Earnings Yield (Joel Greenblatt) for the quarter that ended in Dec. 2023 was -303.03%.

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

SEQL' s Earnings Yield (Joel Greenblatt) % Range Over the Past 10 Years
Min: -5901.58   Med: -59.02   Max: 4821.64
Current: -344.83

During the past 7 years, the highest Earnings Yield (Joel Greenblatt) of SeqLL was 4821.64%. The lowest was -5901.58%. And the median was -59.02%.

SEQL's Earnings Yield (Joel Greenblatt) % is ranked worse than
96.12% of 232 companies
in the Medical Diagnostics & Research industry
Industry Median: -2.95 vs SEQL: -344.83

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) %. SeqLL'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.


SeqLL Earnings Yield (Joel Greenblatt) % Historical Data

The historical data trend for SeqLL'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.

SeqLL Earnings Yield (Joel Greenblatt) % Chart

SeqLL Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Earnings Yield (Joel Greenblatt) %
Get a 7-Day Free Trial - - -25.58 -2,500.00 -303.03

SeqLL Quarterly Data
Dec18 Mar19 Jun19 Dec19 Mar20 Jun20 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 Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -2,500.00 -256.41 -135.14 -109.89 -303.03

Competitive Comparison of SeqLL's Earnings Yield (Joel Greenblatt) %

For the Diagnostics & Research subindustry, SeqLL'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.


SeqLL's Earnings Yield (Joel Greenblatt) % Distribution in the Medical Diagnostics & Research Industry

For the Medical Diagnostics & Research industry and Healthcare sector, SeqLL's Earnings Yield (Joel Greenblatt) % distribution charts can be found below:

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



SeqLL 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.

SeqLLs Earnings Yield (Joel Greenblatt) for the fiscal year that ended in Dec. 2023 is calculated as

Earnings Yield (Joel Greenblatt)=EBIT/Enterprise Value
=-5.544/1.8090845
=-306.45 %

SeqLL'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 $-5.54 Mil.



SeqLL  (OTCPK:SEQL) 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.


SeqLL Earnings Yield (Joel Greenblatt) % Related Terms

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SeqLL (SEQL) Business Description

Traded in Other Exchanges
N/A
Address
3 Federal Street, Billerica, MA, USA, 01821
SeqLL Inc is an early commercial-stage life sciences instrumentation and research services company engaged in the development of scientific assets and novel intellectual property across multiple omics fields. The company leverages its expertise with True Single Molecule Sequencing (tSMS) technology enabling researchers and clinicians to contribute advancements to scientific research and development by accelerating one's understanding of the molecular mechanisms of disease and fundamental biological processes, It enables researchers to identify and synthesize DNA or RNA strands, irrespective of abundance, in a biological sample and is capable of analyzing billions of molecules in parallel.
Executives
Douglas Patrick Miscoll director 317 NEW BOSTON STREET, SUITE 2010, WOBURN MA 01801
Daniel Robert Jones officer: President, CEO 317 NEW BOSTON STREET, SUITE 210, WOBURN MA 01801
David Pfeffer director 464 IVY AVENUE, HAWORTH NJ 07644
Patrice M. Milos director 317 NEW BOSTON STREET, SUITE 2010, WOBURN MA 01801
Frances P Scally officer: CHIEF FINANCIAL OFFICER 66 MELANIE LANE, SYOSSET NY 11791
John Whitcomb Kennedy officer: CFO, Secretary 166 WINN STREET, WOBURN MA 01801

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