DROP (Fuse Science) Piotroski F-Score: 3 (As of Jun. 26, 2026)


What is Fuse Science Piotroski F-Score?

Fuse Science DROP Piotroski F-Score is 3 as of Jun. 26, 2026. The stock has 4 warning signs investors should review. Among 2,743 Software companies, Fuse Science ranks worse than 78.89% on this metric.

Warning Sign:

Piotroski F-Score of 3 is low, which usually implies poor business operation.

The zones of discrimination were as such:

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

Fuse Science has an F-score of 3. It is a bad or low score, which usually implies poor business operation.

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

DROP' s Piotroski F-Score Range Over the Past 10 Years
Min: 0   Med: 0   Max: 3
Current: 3

During the past 13 years, the highest Piotroski F-Score of Fuse Science was 3. The lowest was 0. And the median was 0.

Fuse Science  (OTCPK:DROP) 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.


Fuse Science Piotroski F-Score Related Terms


Fuse Science Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for Fuse Science'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.

Fuse Science Piotroski F-Score Chart

Fuse Science Annual Data
Trend Sep06 Sep07 Sep08 Sep09 Sep10 Sep11 Sep12 Sep13 Sep14 Sep15
Piotroski F-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 3.00 3.00 5.00 3.00 3.00

Fuse Science Semi-Annual Data
Mar07 Sep07 Mar08 Sep08 Mar09 Sep09 Mar10 Sep10 Mar11 Sep11 Mar12 Sep12 Mar13 Sep13 Mar14 Sep14 Mar15 Sep15 Mar25 Mar26
Piotroski F-Score 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 3.00 2.00 3.00 N/A N/A

DROP vs GMTH, HUBC, ATDS: Piotroski F-Score Comparison

For the Software - Infrastructure subindustry, Fuse Science'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.


Fuse Science Piotroski F-Score vs Software Industry

For the Software industry and Technology sector, Fuse Science's Piotroski F-Score distribution charts can be found below:

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


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 (Sep15) TTM:Last Year (Sep14) TTM:
Net Income was $-26.58 Mil.
Cash Flow from Operations was $-1.52 Mil.
Revenue was $0.00 Mil.
Gross Profit was $0.00 Mil.
Average Total Assets from the begining of this year (Sep14)
to the end of this year (Sep15) was (0.012 + 0.118) / 2 = $0.065 Mil.
Total Assets at the begining of this year (Sep14) was $0.01 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Total Current Assets was $0.11 Mil.
Total Current Liabilities was $0.73 Mil.
Net Income was $-7.70 Mil.

Revenue was $0.45 Mil.
Gross Profit was $-0.98 Mil.
Average Total Assets from the begining of last year (Sep13)
to the end of last year (Sep14) was (1.646 + 0.012) / 2 = $0.829 Mil.
Total Assets at the begining of last year (Sep13) was $1.65 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Total Current Assets was $0.01 Mil.
Total Current Liabilities was $1.10 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.

Fuse Science's current Net Income (TTM) was -26.58. ==> 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.

Fuse Science's current Cash Flow from Operations (TTM) was -1.52. ==> 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 (Sep14)
=-26.576/0.012
=-2214.66666667

ROA (Last Year)=Net Income/Total Assets (Sep13)
=-7.696/1.646
=-4.67557716

Fuse Science's return on assets of this year was -2214.66666667. Fuse Science's return on assets of last year was -4.67557716. ==> 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.

Fuse Science's current Net Income (TTM) was -26.58. Fuse Science's current Cash Flow from Operations (TTM) was -1.52. ==> -1.52 > -26.58 ==> 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: Sep15)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep14 to Sep15
=0/0.065
=0

Gearing (Last Year: Sep14)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep13 to Sep14
=0/0.829
=0

Fuse Science's gearing of this year was 0. Fuse Science's gearing of last year was 0. ==> This year is lower or equal to last year. ==> Score 1.

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: Sep15)=Total Current Assets/Total Current Liabilities
=0.11/0.733
=0.15006821

Current Ratio (Last Year: Sep14)=Total Current Assets/Total Current Liabilities
=0.006/1.101
=0.00544959

Fuse Science's current ratio of this year was 0.15006821. Fuse Science's current ratio of last year was 0.00544959. ==> This year's current ratio is higher. ==> Score 1.

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.

Fuse Science's number of shares in issue this year was 80. Fuse Science's number of shares in issue last year was 0.233. ==> There is larger number of shares in issue this year. ==> Score 0.

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
=0/0
=

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=-0.976/0.449
=-2.17371938

Fuse Science's gross margin of this year was . Fuse Science's gross margin of last year was -2.17371938. ==> 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 (Sep14)
=0/0.012
=0

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Sep13)
=0.449/1.646
=0.2727825

Fuse Science's asset turnover of this year was 0. Fuse Science's asset turnover of last year was 0.2727825. ==> 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+1+1+0+0+0
=3

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

Fuse Science has an F-score of 3. It is a bad or low score, which usually implies poor business operation.

Frequently Asked Questions Learn more about Piotroski F-Score →
What does a Piotroski F-Score of 3 mean?
Fuse Science (DROP) has a Piotroski F-Score of 3 as of Jun. 26, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Fuse Science and its competitors. According to the industry distribution chart, Fuse Science ranks #2164 out of 2743 companies in the Software industry, placing it in the top 78.9%.
Is Fuse Science's Piotroski F-Score too high?
Fuse Science's current Piotroski F-Score is 3. The Software industry median Piotroski F-Score is 5.00. Fuse Science's value of 3 is 40% below this industry median. Based on the distribution chart, Fuse Science ranks #2164 out of 2743 companies in the Software industry, which is in the bottom quartile relative to peers.
How does Fuse Science's Piotroski F-Score compare to GMTH and HUBC?
According to the Software industry distribution chart, Fuse Science ranks #2164 out of 2743 companies for Piotroski F-Score. This places Fuse Science in the lower half of its industry. The industry median Piotroski F-Score is 5.00. Fuse Science's value of 3 is 40% below this benchmark. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Piotroski F-Score for a Software company?
The median Piotroski F-Score among Software companies is 5.00, based on 2,743 companies in the industry. Companies in the top quartile (top 25%) have a Piotroski F-Score significantly above this median, while those in the bottom quartile fall well below. However, Piotroski F-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Fuse Science's current Piotroski F-Score of 3 is 40% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Piotroski F-Score mean?
A high Piotroski F-Score can signal that a stock is expensive relative to its fundamentals. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Fuse Science and its competitors. For the Software industry, the median Piotroski F-Score is 5.00 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Fuse Science's current Piotroski F-Score is 3. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Fuse Science stock overvalued right now?
Fuse Science (DROP) has a current Piotroski F-Score of 3. The current Piotroski F-Score is 3 and 40% below the Software industry median of 5.00. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Piotroski F-Score calculated?
Piotroski F-Score is calculated from a company's financial statements. For Fuse Science (DROP), the current Piotroski F-Score is 3 as of Jun. 26, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Fuse Science Business Description

Address 1011 Hinterland Crt, Oshawa, ON, CAN, L1K 2M6
Fuse Science Inc operates Trainday, a cloud-based workforce learning management system. It is a software company that created and maintains the Trainday platform, enabling companies to create data-driven employee and staff training solutions leveraging artificial intelligence and relevant data sources. The platform focuses on creating tailored training modules that are engaging and impactful, allowing companies to develop personalized learning paths and training programs based on the needs of each business. Industries in focus include healthcare, retail, travel, hospitality, manufacturing, finance, government services, and construction. Trainday works to accelerate the transition from industry or company-specific events to full operational readiness.