Fractal Analytics (BOM:544700) Piotroski F-Score: 8 (As of Jun. 28, 2026) — 11% Below Median


BOM:544700 Fractal Analytics Ltd BOM:544700
16 GF Score
Price ₹924.30
! 2 Warning Signs
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What is Fractal Analytics Piotroski F-Score?

Fractal Analytics BOM:544700 -2.36% 16 Piotroski F-Score is 8 as of Jun. 28, 2026, which is 11% below its 10-year median of 9.00. GuruFocus rates BOM:544700 with a GF Score™ of 16/100. The stock has 2 warning signs investors should review. Among 2,743 Software companies, Fractal Analytics ranks better than 98.65% on this metric.

Good Sign:

Piotroski F-Score is 8, indicates a very healthy situation.

The zones of discrimination were as such:

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

Fractal Analytics has an F-score of 8. It is a good or high score, which usually indicates a very healthy situation.

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

BOM:544700' s Piotroski F-Score Range Over the Past 10 Years
Min: 8   Med: 9   Max: 9
Current: 8

During the past 4 years, the highest Piotroski F-Score of Fractal Analytics was 9. The lowest was 8. And the median was 9.

Fractal Analytics  (BOM:544700) 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.


Fractal Analytics Piotroski F-Score Related Terms


Fractal Analytics Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for Fractal Analytics'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.

Fractal Analytics Piotroski F-Score Chart

Fractal Analytics Annual Data
Trend Mar23 Mar24 Mar25 Mar26
Piotroski F-Score
N/A N/A 9.00 8.00

Fractal Analytics Semi-Annual Data
Mar23 Mar24 Sep24 Mar25 Sep25 Mar26
Piotroski F-Score Get a 7-Day Free Trial N/A 0.00 9.00 0.00 8.00

BOM:544700 vs MSFT, ORCL, PLTR: Piotroski F-Score Comparison

For the Software - Infrastructure subindustry, Fractal Analytics'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.


Fractal Analytics Piotroski F-Score vs Software Industry

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

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


BOM:544700
16GF Score
Fractal Analytics Ltd BOM:544700
Piotroski F-Score is just one metric. See GF Score™, valuation, warning signs, and more.
View Full Analysis

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 (Mar26) TTM:Last Year (Mar25) TTM:
Net Income was ₹2,922 Mil.
Cash Flow from Operations was ₹4,090 Mil.
Revenue was ₹32,997 Mil.
Gross Profit was ₹10,083 Mil.
Average Total Assets from the begining of this year (Mar25)
to the end of this year (Mar26) was (28576 + 44071) / 2 = ₹36323.5 Mil.
Total Assets at the begining of this year (Mar25) was ₹28,576 Mil.
Long-Term Debt & Capital Lease Obligation was ₹921 Mil.
Total Current Assets was ₹30,329 Mil.
Total Current Liabilities was ₹10,122 Mil.
Net Income was ₹2,230 Mil.

Revenue was ₹27,654 Mil.
Gross Profit was ₹7,606 Mil.
Average Total Assets from the begining of last year (Mar24)
to the end of last year (Mar25) was (23920 + 28576) / 2 = ₹26248 Mil.
Total Assets at the begining of last year (Mar24) was ₹23,920 Mil.
Long-Term Debt & Capital Lease Obligation was ₹3,849 Mil.
Total Current Assets was ₹16,246 Mil.
Total Current Liabilities was ₹5,747 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.

Fractal Analytics's current Net Income (TTM) was 2,922. ==> Positive ==> Score 1.

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.

Fractal Analytics's current Cash Flow from Operations (TTM) was 4,090. ==> Positive ==> Score 1.

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 (Mar25)
=2922/28576
=0.10225364

ROA (Last Year)=Net Income/Total Assets (Mar24)
=2230/23920
=0.09322742

Fractal Analytics's return on assets of this year was 0.10225364. Fractal Analytics's return on assets of last year was 0.09322742. ==> This year is higher. ==> Score 1.

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.

Fractal Analytics's current Net Income (TTM) was 2,922. Fractal Analytics's current Cash Flow from Operations (TTM) was 4,090. ==> 4,090 > 2,922 ==> 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: Mar26)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar25 to Mar26
=921/36323.5
=0.02535549

Gearing (Last Year: Mar25)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar24 to Mar25
=3849/26248
=0.14663974

Fractal Analytics's gearing of this year was 0.02535549. Fractal Analytics's gearing of last year was 0.14663974. ==> 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: Mar26)=Total Current Assets/Total Current Liabilities
=30329/10122
=2.9963446

Current Ratio (Last Year: Mar25)=Total Current Assets/Total Current Liabilities
=16246/5747
=2.82686619

Fractal Analytics's current ratio of this year was 2.9963446. Fractal Analytics's current ratio of last year was 2.82686619. ==> 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.

Fractal Analytics's number of shares in issue this year was 169.983. Fractal Analytics's number of shares in issue last year was 171.998. ==> 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
=10083/32997
=0.30557323

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=7606/27654
=0.27504159

Fractal Analytics's gross margin of this year was 0.30557323. Fractal Analytics's gross margin of last year was 0.27504159. ==> 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 (Mar25)
=32997/28576
=1.15471025

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Mar24)
=27654/23920
=1.15610368

Fractal Analytics's asset turnover of this year was 1.15471025. Fractal Analytics's asset turnover of last year was 1.15610368. ==> 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
=1+1+1+1+1+1+1+1+0
=8

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

Fractal Analytics has an F-score of 8. It is a good or high score, which usually indicates a very healthy situation.

Frequently Asked Questions Learn more about Piotroski F-Score →
What does a Piotroski F-Score of 8 mean?
Fractal Analytics (BOM:544700) has a Piotroski F-Score of 8 as of Jun. 28, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Fractal Analytics and its competitors. This is 11% below median its historical median of 9.00. Over the past decade, Fractal Analytics' Piotroski F-Score has ranged from 8.00 to 9.00. According to the industry distribution chart, Fractal Analytics ranks #37 out of 2743 companies in the Software industry, placing it in the top 1.3%.
Is Fractal Analytics' Piotroski F-Score too high?
Fractal Analytics' current Piotroski F-Score of 8 is 11% below median its 10-year median of 9.00. Over the past 10 years, this metric has ranged from a low of 8.00 to a high of 9.00. The Software industry median Piotroski F-Score is 5.00. Fractal Analytics' value of 8 is 60% above this industry median. Based on the distribution chart, Fractal Analytics ranks #37 out of 2743 companies in the Software industry, which is in the top quartile — a strong position relative to peers. Overall, Fractal Analytics has a GF Score™ of 16/100, reflecting its overall financial health beyond just this single metric.
How does Fractal Analytics' Piotroski F-Score compare to MSFT and ORCL?
According to the Software industry distribution chart, Fractal Analytics ranks #37 out of 2743 companies for Piotroski F-Score. This places Fractal Analytics in the top 1% of its industry — outperforming the majority of peers. The industry median Piotroski F-Score is 5.00. Fractal Analytics' value of 8 is 60% above this benchmark. Historically, Fractal Analytics' own Piotroski F-Score has ranged from 8.00 to 9.00 over the past decade. While the company's 10-year median is 9.00 vs. the industry median of 5.00, Fractal Analytics has consistently been above the industry average. 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. Fractal Analytics's current Piotroski F-Score of 8 is 60% above 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 Fractal Analytics 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. Fractal Analytics's current Piotroski F-Score is 8, which is 11% below median its own 10-year median of 9.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Fractal Analytics stock overvalued right now?
Fractal Analytics (BOM:544700) has a current Piotroski F-Score of 8. The current Piotroski F-Score is 8, which is 11% below median its 10-year median of 9.00 and 60% above the Software industry median of 5.00. Fractal Analytics' overall GF Score™ is 16/100 with 2 warning signs to review. 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 Fractal Analytics (BOM:544700), the current Piotroski F-Score is 8 as of Jun. 28, 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.

Fractal Analytics Business Description

Other Exchanges FRACTAL:India
Address Off Western Express Highway, Level 7, Commerz II, International Business Park, Oberoi Garden City, Goregaon East, Mumbai, MH, IND, 400 063
Fractal Analytics Ltd is engaged in the business of providing products and/or services relating to conversational AI solutions that enable automated, human-like conversations between organisations and people. The company operates through two business segments: (i) Fractal.ai, which provides AI services and products to develop customized solutions for client-specific use cases across industry-specific and cross-industry applications, and (ii) Fractal Alpha, which includes AI-related business activities. Through these segments, the company serves clients across various industries and business functions. The majority of the company's revenue is derived from the Fractal.ai segment. Geographically, it operates in the United States of America, Europe and APAC & Others.
16GF Score

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