SLBT (SL Science Holding) Piotroski F-Score: N/A (As of Aug. 03, 2026)

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Director of Data and Quant Analytics at GuruFocus
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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.

SLBT SL Science Holding Ltd SLBT
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What is SL Science Holding Piotroski F-Score?

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

SL Science Holding has an F-score of 2. It is a bad or low score, which usually implies poor business operation.

The historical rank and industry rank for SL Science Holding's Piotroski F-Score or its related term are showing as below:

SL Science Holding  (NAS:SLBT) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


SL Science Holding Piotroski F-Score Related Terms


SL Science Holding Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for SL Science Holding's Piotroski F-Score 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.

SL Science Holding Piotroski F-Score Chart

SL Science Holding Annual Data
Trend Dec23 Dec24 Dec25
Piotroski F-Score
0.00 0.00 0.00

SL Science Holding Semi-Annual Data
Dec23 Jun24 Dec24 Jun25 Dec25
Piotroski F-Score 0.00 0.00 0.00 0.00 0.00

SLBT vs DMRA, BCAX, TYRA: Piotroski F-Score Comparison

For the Biotechnology subindustry, SL Science Holding's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score 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.


SL Science Holding Piotroski F-Score vs Biotechnology Industry

For the Biotechnology industry and Healthcare sector, SL Science Holding's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where SL Science Holding's Piotroski F-Score falls into.


SLBT
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SL Science Holding Ltd SLBT
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How is the Piotroski F-Score calculated?

* 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.

This Year (Dec25) TTM:Last Year (Dec24) TTM:
Net Income was $-3.82 Mil.
Cash Flow from Operations was $-1.91 Mil.
Revenue was $2.20 Mil.
Gross Profit was $0.78 Mil.
Average Total Assets from the begining of this year (Dec24)
to the end of this year (Dec25) was (5.932 + 2.817) / 2 = $4.3745 Mil.
Total Assets at the begining of this year (Dec24) was $5.93 Mil.
Long-Term Debt & Capital Lease Obligation was $0.07 Mil.
Total Current Assets was $1.43 Mil.
Total Current Liabilities was $0.47 Mil.
Net Income was $-1.19 Mil.

Revenue was $3.36 Mil.
Gross Profit was $1.93 Mil.
Average Total Assets from the begining of last year (Dec23)
to the end of last year (Dec24) was (4.242 + 5.932) / 2 = $5.087 Mil.
Total Assets at the begining of last year (Dec23) was $4.24 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Total Current Assets was $5.86 Mil.
Total Current Liabilities was $0.07 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

SL Science Holding's current Net Income (TTM) was -3.82. ==> Negative ==> Score 0.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

SL Science Holding's current Cash Flow from Operations (TTM) was -1.91. ==> Negative ==> Score 0.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Dec24)
=-3.82/5.932
=-0.64396494

ROA (Last Year)=Net Income/Total Assets (Dec23)
=-1.191/4.242
=-0.28076379

SL Science Holding's return on assets of this year was -0.64396494. SL Science Holding's return on assets of last year was -0.28076379. ==> Last year is higher ==> Score 0.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

SL Science Holding's current Net Income (TTM) was -3.82. SL Science Holding's current Cash Flow from Operations (TTM) was -1.91. ==> -1.91 > -3.82 ==> CFROA > ROA ==> Score 1.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Dec25)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec24 to Dec25
=0.065/4.3745
=0.01485884

Gearing (Last Year: Dec24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec23 to Dec24
=0/5.087
=0

SL Science Holding's gearing of this year was 0.01485884. SL Science Holding's gearing of last year was 0. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Dec25)=Total Current Assets/Total Current Liabilities
=1.427/0.469
=3.04264392

Current Ratio (Last Year: Dec24)=Total Current Assets/Total Current Liabilities
=5.855/0.069
=84.85507246

SL Science Holding's current ratio of this year was 3.04264392. SL Science Holding's current ratio of last year was 84.85507246. ==> Last year's current ratio is higher ==> Score 0.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

SL Science Holding's number of shares in issue this year was 560.76. SL Science Holding's number of shares in issue last year was 560.76. ==> There is smaller number of shares in issue this year, or the same. ==> Score 1.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=0.775/2.197
=0.35275376

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=1.933/3.364
=0.57461356

SL Science Holding's gross margin of this year was 0.35275376. SL Science Holding's gross margin of last year was 0.57461356. ==> Last year's gross margin is higher ==> Score 0.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Dec24)
=2.197/5.932
=0.37036413

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Dec23)
=3.364/4.242
=0.79302216

SL Science Holding's asset turnover of this year was 0.37036413. SL Science Holding's asset turnover of last year was 0.79302216. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=0+0+0+1+0+0+1+0+0
=2

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

SL Science Holding has an F-score of 2. It is a bad or low score, which usually implies poor business operation.


SL Science Holding Business Description

Address No. 479 Chongyang Road, 11th Floor, Nangang District, Taipei, TWN, 115010
SL Science Holding Ltd is a biomedical company specialized in developing cellular and gene therapies advancing regenerative medicine and cancer treatment. It utilizes immune stem cells to target cancer and bovine-derived milk exosomes to regenerate damaged tissues, thus potentially offering expansive medical applications for its products. With proprietary technologies such as Armed-T and Gamma Delta T cells, as well as exosome applications in skincare and cancer recovery. It operates in three segments namely Exosome products, CD-19 Armed-T products, and GDT cell therapy products. It derives revenue from Exosome products segment.
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