MEDS (DataMEDS AI) Piotroski F-Score: 1 (As of Jul. 26, 2026) — 50% Below Median

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What is DataMEDS AI Piotroski F-Score?

DataMEDS AI MEDS -3.35% Piotroski F-Score is 1 as of Jul. 26, 2026, which is 50% below its 10-year median of 2.00. The stock has 6 warning signs investors should review. Among 115 Medical Distribution companies, DataMEDS AI ranks worse than 100% on this metric.

Warning Sign:

Piotroski F-Score of 1 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

DataMEDS AI has an F-score of 1. It is a bad or low score, which usually implies poor business operation.

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

MEDS' s Piotroski F-Score Range Over the Past 10 Years
Min: 1   Med: 2   Max: 3
Current: 1

During the past 4 years, the highest Piotroski F-Score of DataMEDS AI was 3. The lowest was 1. And the median was 2.

DataMEDS AI  (NAS:MEDS) 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.


DataMEDS AI Piotroski F-Score Related Terms


DataMEDS AI Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for DataMEDS AI'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.

DataMEDS AI Piotroski F-Score Chart

DataMEDS AI Annual Data
Trend Dec22 Dec23 Dec24 Dec25
Piotroski F-Score
N/A N/A N/A 3.00

DataMEDS AI Quarterly Data
Dec22 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only N/A N/A N/A 3.00 1.00

MEDS vs HEWA, BLMH, PMHS: Piotroski F-Score Comparison

For the Medical Distribution subindustry, DataMEDS AI'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.


DataMEDS AI Piotroski F-Score vs Medical Distribution Industry

For the Medical Distribution industry and Healthcare sector, DataMEDS AI's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where DataMEDS AI'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 (Mar26) TTM:Last Year (Mar25) TTM:
Net Income was -6.672 + -34.318 + -27.853 + -7.743 = $-76.59 Mil.
Cash Flow from Operations was -2.079 + -1.135 + -6.293 + -3.413 = $-12.92 Mil.
Revenue was 7.791 + 3.013 + 1.671 + 1.56 = $14.04 Mil.
Gross Profit was 0.506 + 0.231 + -7.856 + 0.17 = $-6.95 Mil.
Average Total Assets from the begining of this year (Mar25)
to the end of this year (Mar26) was
(58.063 + 54.225 + 52.78 + 30.459 + 30.128) / 5 = $45.131 Mil.
Total Assets at the begining of this year (Mar25) was $58.06 Mil.
Long-Term Debt & Capital Lease Obligation was $12.99 Mil.
Total Current Assets was $2.76 Mil.
Total Current Liabilities was $32.20 Mil.
Net Income was -0.574 + -1.867 + -4.332 + -32.431 = $-39.20 Mil.

Revenue was 0.045 + 5.674 + 12.41 + 10.863 = $28.99 Mil.
Gross Profit was -0.003 + 0.521 + 1.249 + 0.693 = $2.46 Mil.
Average Total Assets from the begining of last year (Mar24)
to the end of last year (Mar25) was
(34.678 + 44.656 + 55.572 + 57.333 + 58.063) / 5 = $50.0604 Mil.
Total Assets at the begining of last year (Mar24) was $34.68 Mil.
Long-Term Debt & Capital Lease Obligation was $7.36 Mil.
Total Current Assets was $16.55 Mil.
Total Current Liabilities was $46.23 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.

DataMEDS AI's current Net Income (TTM) was -76.59. ==> 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.

DataMEDS AI's current Cash Flow from Operations (TTM) was -12.92. ==> 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 (Mar25)
=-76.586/58.063
=-1.31901555

ROA (Last Year)=Net Income/Total Assets (Mar24)
=-39.204/34.678
=-1.13051502

DataMEDS AI's return on assets of this year was -1.31901555. DataMEDS AI's return on assets of last year was -1.13051502. ==> 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.

DataMEDS AI's current Net Income (TTM) was -76.59. DataMEDS AI's current Cash Flow from Operations (TTM) was -12.92. ==> -12.92 > -76.59 ==> 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
=12.991/45.131
=0.28785092

Gearing (Last Year: Mar25)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar24 to Mar25
=7.359/50.0604
=0.14700242

DataMEDS AI's gearing of this year was 0.28785092. DataMEDS AI's gearing of last year was 0.14700242. ==> 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: Mar26)=Total Current Assets/Total Current Liabilities
=2.762/32.199
=0.08577906

Current Ratio (Last Year: Mar25)=Total Current Assets/Total Current Liabilities
=16.552/46.225
=0.35807463

DataMEDS AI's current ratio of this year was 0.08577906. DataMEDS AI's current ratio of last year was 0.35807463. ==> 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.

DataMEDS AI's number of shares in issue this year was 2.092. DataMEDS AI's number of shares in issue last year was 1.038. ==> 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
=-6.949/14.035
=-0.49511934

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=2.46/28.992
=0.08485099

DataMEDS AI's gross margin of this year was -0.49511934. DataMEDS AI's gross margin of last year was 0.08485099. ==> 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 (Mar25)
=14.035/58.063
=0.2417202

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Mar24)
=28.992/34.678
=0.83603437

DataMEDS AI's asset turnover of this year was 0.2417202. DataMEDS AI's asset turnover of last year was 0.83603437. ==> 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+0+0+0
=1

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

DataMEDS AI has an F-score of 1. 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 1 mean?
DataMEDS AI (MEDS) has a Piotroski F-Score of 1 as of Jul. 26, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on DataMEDS AI and its competitors. This is 50% below median its historical median of 2.00. Over the past decade, DataMEDS AI's Piotroski F-Score has ranged from 1.00 to 3.00. According to the industry distribution chart, DataMEDS AI ranks #115 out of 115 companies in the Medical Distribution industry.
Is DataMEDS AI's Piotroski F-Score too high?
DataMEDS AI's current Piotroski F-Score of 1 is 50% below median its 10-year median of 2.00. Over the past 10 years, this metric has ranged from a low of 1.00 to a high of 3.00. The Medical Distribution industry median Piotroski F-Score is 5.00. DataMEDS AI's value of 1 is 80% below this industry median. Based on the distribution chart, DataMEDS AI ranks #115 out of 115 companies in the Medical Distribution industry, which is in the bottom quartile relative to peers.
How does DataMEDS AI's Piotroski F-Score compare to HEWA and BLMH?
According to the Medical Distribution industry distribution chart, DataMEDS AI ranks #115 out of 115 companies for Piotroski F-Score. This places DataMEDS AI in the lower half of its industry. The industry median Piotroski F-Score is 5.00. DataMEDS AI's value of 1 is 80% below this benchmark. Historically, DataMEDS AI's own Piotroski F-Score has ranged from 1.00 to 3.00 over the past decade. While the company's 10-year median is 2.00 vs. the industry median of 5.00, DataMEDS AI has consistently been below 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 Medical Distribution company?
The median Piotroski F-Score among Medical Distribution companies is 5.00, based on 115 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. DataMEDS AI's current Piotroski F-Score of 1 is 80% 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 DataMEDS AI and its competitors. For the Medical Distribution 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. DataMEDS AI's current Piotroski F-Score is 1, which is 50% below median its own 10-year median of 2.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is DataMEDS AI stock overvalued right now?
DataMEDS AI (MEDS) has a current Piotroski F-Score of 1. The current Piotroski F-Score is 1, which is 50% below median its 10-year median of 2.00 and 80% below the Medical Distribution 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 DataMEDS AI (MEDS), the current Piotroski F-Score is 1 as of Jul. 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.

DataMEDS AI Business Description

Address 3000 Bayport Drive, Suite 950, Tampa, FL, USA, 33607
Wellgistics Health Inc is a healthcare technology and pharmaceutical logistics company. It simplifies the logistics of prescription fulfillment from the manufacturer and provider to the patient. The company seeks to be a micro health ecosystem, with a portfolio comprising a pharmacy, wholesale operations, and a technology division that provides a novel platform for hub and clinical services. It is focused on improving the lives of patients while delivering solutions for pharmacies, providers, pharmaceutical manufacturers, and payors.