Generative AI Solutions (FRA:N8T) Piotroski F-Score: 0 (As of Jul. 23, 2026)

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FRA:N8T Generative AI Solutions Corp FRA:N8T
34 GF Score
Price €0.07
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What is Generative AI Solutions 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

Generative AI Solutions has an F-score of 4 indicating the company's financial situation is typical for a stable company.

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

Generative AI Solutions  (FRA:N8T) 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.


Generative AI Solutions Piotroski F-Score Related Terms


Generative AI Solutions Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for Generative AI Solutions'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.

Generative AI Solutions Piotroski F-Score Chart

Generative AI Solutions Annual Data
Trend Feb22 Jan23 Jan24
Piotroski F-Score
N/A 0.00 3.00

Generative AI Solutions Quarterly Data
May20 Aug20 Nov20 May21 Aug21 Nov21 Feb22 May22 Aug22 Nov22 Feb23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24
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 1.00 3.00 5.00 4.00 4.00
FRA:N8T
34GF Score
Generative AI Solutions Corp FRA:N8T
Piotroski F-Score is just one metric. See GF Score™, valuation, warning signs, and more.
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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 (Oct24) TTM:Last Year (Oct23) TTM:
Net Income was -9.739 + -0.314 + -0.486 + -0.282 = €-10.82 Mil.
Cash Flow from Operations was -2.534 + -0.489 + 0.077 + -0.134 = €-3.08 Mil.
Revenue was 0.124 + 0.147 + 0.151 + 0.135 = €0.56 Mil.
Gross Profit was -0.273 + -0.04 + -0.075 + -0.067 = €-0.46 Mil.
Average Total Assets from the begining of this year (Oct23)
to the end of this year (Oct24) was
(13.055 + 3.325 + 3.027 + 2.671 + 2.321) / 5 = €4.8798 Mil.
Total Assets at the begining of this year (Oct23) was €13.06 Mil.
Long-Term Debt & Capital Lease Obligation was €0.00 Mil.
Total Current Assets was €1.33 Mil.
Total Current Liabilities was €0.94 Mil.
Net Income was -0.209 + -0.074 + -0.705 + -0.481 = €-1.47 Mil.

Revenue was 0 + 0 + 0 + 0 = €0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = €0.00 Mil.
Average Total Assets from the begining of last year (Aug22)
to the end of last year (Oct23) was
(3.745 + 2.804 + 2.823 + 13.245 + 13.055) / 5 = €7.1344 Mil.
Total Assets at the begining of last year (Aug22) was €3.75 Mil.
Long-Term Debt & Capital Lease Obligation was €0.23 Mil.
Total Current Assets was €2.16 Mil.
Total Current Liabilities was €0.59 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.

Generative AI Solutions's current Net Income (TTM) was -10.82. ==> 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.

Generative AI Solutions's current Cash Flow from Operations (TTM) was -3.08. ==> 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 (Oct23)
=-10.821/13.055
=-0.82887782

ROA (Last Year)=Net Income/Total Assets (Aug22)
=-1.469/3.745
=-0.39225634

Generative AI Solutions's return on assets of this year was -0.82887782. Generative AI Solutions's return on assets of last year was -0.39225634. ==> 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.

Generative AI Solutions's current Net Income (TTM) was -10.82. Generative AI Solutions's current Cash Flow from Operations (TTM) was -3.08. ==> -3.08 > -10.82 ==> 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: Oct24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Oct23 to Oct24
=0/4.8798
=0

Gearing (Last Year: Oct23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Aug22 to Oct23
=0.23/7.1344
=0.03223817

Generative AI Solutions's gearing of this year was 0. Generative AI Solutions's gearing of last year was 0.03223817. ==> 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: Oct24)=Total Current Assets/Total Current Liabilities
=1.33/0.941
=1.41339001

Current Ratio (Last Year: Oct23)=Total Current Assets/Total Current Liabilities
=2.161/0.586
=3.68771331

Generative AI Solutions's current ratio of this year was 1.41339001. Generative AI Solutions's current ratio of last year was 3.68771331. ==> 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.

Generative AI Solutions's number of shares in issue this year was 77.199. Generative AI Solutions's number of shares in issue last year was 66.094. ==> 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
=-0.455/0.557
=-0.81687612

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=0/0
=

Generative AI Solutions's gross margin of this year was -0.81687612. Generative AI Solutions's gross margin of last year was . ==> This year's gross margin is higher. ==> Score 1.

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 (Oct23)
=0.557/13.055
=0.04266565

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Aug22)
=0/3.745
=0

Generative AI Solutions's asset turnover of this year was 0.04266565. Generative AI Solutions's asset turnover of last year was 0. ==> This year's asset turnover is higher. ==> Score 1.

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+0+0+1+1
=4

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

Generative AI Solutions has an F-score of 4 indicating the company's financial situation is typical for a stable company.


Generative AI Solutions Business Description

Address 550 Burrard Street, Suite 2300, Bentall 5, Vancouver, BC, CAN, V6C 2B5
Generative AI Solutions Corp is an artificial intelligence company, focused on developing transformative AI-powered tools for businesses and consumers across multiple industries. The group develops state-of-the-art AI-based solutions that have broad applicability and can be seamlessly integrated into diverse workflows. The company leverages its expertise in machine learning, natural language processing, and data analytics, GenAI seeks to build versatile, high-performance tools that redefine efficiency, productivity, and user experience.
34GF Score

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