MEDS (DataMEDS AI) ROC (Joel Greenblatt) %: -2,023.19% (As of Mar. 2026)

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What is DataMEDS AI ROC (Joel Greenblatt) %?

DataMEDS AI MEDS -3.35% ROC (Joel Greenblatt) % is -2,023.19% as of Mar. 2026. The stock has 6 warning signs investors should review. Among 120 Medical Distribution companies, DataMEDS AI ranks worse than 99.17% on this metric.

Joel Greenblatt defined Return on Capital differently in his book The Little Book That Still Beats the Market (Little Books. Big Profits). He defines ROC (Joel Greenblatt) % as EBIT divided by the total of Property, Plant and Equipment and net working capital. DataMEDS AI's annualized ROC (Joel Greenblatt) % for the quarter that ended in Mar. 2026 was -2,023.19%.

The historical rank and industry rank for DataMEDS AI's ROC (Joel Greenblatt) % or its related term are showing as below:

MEDS' s ROC (Joel Greenblatt) % Range Over the Past 10 Years
Min: -6214.33   Med: -3264.4   Max: -314.46
Current: -5166.42

During the past 4 years, DataMEDS AI's highest ROC (Joel Greenblatt) % was -314.46%. The lowest was -6214.33%. And the median was -3264.40%.

MEDS's ROC (Joel Greenblatt) % is ranked worse than
99.17% of 120 companies
in the Medical Distribution industry
Industry Median: 15.045 vs MEDS: -5166.42

DataMEDS AI's 5-Year average Growth Rate of ROC (Joel Greenblatt) % was 0.00% per year.


DataMEDS AI  (NAS:MEDS) ROC (Joel Greenblatt) % Explanation

The way Joel Greenblatt defines Return on Capital is a more accurate measure of how efficiently the company generates returns onthe capital actually invested in the business. EBIT is used instead of net income because the tax and interest payment may be affected by factors other than the core business operation. Intangible assets are not included in the calculation because they don't need to be replaced.

Joel Greenblatt uses his definition of Return on Capital and Earnings Yield (Joel Greenblatt) % to rank companies.


DataMEDS AI ROC (Joel Greenblatt) % Related Terms


DataMEDS AI ROC (Joel Greenblatt) % Historical Data

* Premium members only.

The historical data trend for DataMEDS AI's ROC (Joel Greenblatt) % 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 ROC (Joel Greenblatt) % Chart

DataMEDS AI Annual Data
Trend Dec22 Dec23 Dec24 Dec25
ROC (Joel Greenblatt) %
0.00 0.00 -314.46 -6,214.33

DataMEDS AI Quarterly Data
Dec22 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
ROC (Joel Greenblatt) % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only -6,830.74 -1,313.31 -9,143.29 -8,684.75 -2,023.19

MEDS vs HEWA, BLMH, PMHS: ROC (Joel Greenblatt) % Comparison

For the Medical Distribution subindustry, DataMEDS AI's ROC (Joel Greenblatt) %, along with its competitors' market caps and ROC (Joel Greenblatt) % 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 ROC (Joel Greenblatt) % vs Medical Distribution Industry

For the Medical Distribution industry and Healthcare sector, DataMEDS AI's ROC (Joel Greenblatt) % distribution charts can be found below:

* The bar in red indicates where DataMEDS AI's ROC (Joel Greenblatt) % falls into.



DataMEDS AI ROC (Joel Greenblatt) % Calculation

Joel Greenblatt defined Return on Capital differently in his book The Little Book That Still Beats the Market (Little Books. Big Profits) . He defines Return on Capital as follows:

ROC (Joel Greenblatt) %=EBIT/Average of (Net fixed Assets + Net Working Capital)

EBIT stands for Earnings Before Interest and Taxes.

Fixed Assets are also known as non-current assets. They include the Property, Plant and Equipment that the firm needs in its operation.

GuruFocus calculates net working capital as: (Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Deferred Revenue + Other Current Liabilities). We're trying to account for OPERATING assets and liabilities (part of daily business) when calculating working capital. Cash and marketable securities are considered NON-OPERATING assets and are not included in calculation. We will also back out all interest bearing debt, short term debt and the portion of long term debt that is due in the current period from the current liabilities. This debt will be considered when computing cost of capital and it would be inappropriate to count it twice.

Working Capital(Q: Dec. 2025 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(1.137 + 1.639 + 0) - (13.063 + 0.488 + 4.588)
=-15.363

Working Capital(Q: Mar. 2026 )
=(Accounts Receivable + Total Inventories + Other Current Assets) - (Accounts Payable & Accrued Expense + Defer. Rev. + Other Current Liabilities)
=(0.992 + 1.714 + 0) - (13.536 + 0.026 + 2.715)
=-13.571

When net working capital is negative, 0 is used.

So ROC (Joel Greenblatt) % of DataMEDS AI for the quarter that ended in Mar. 2026 can be restated as:

ROC (Joel Greenblatt) %(Q: Mar. 2026 )
=EBIT/Average of (Net fixed Assets + Net Working Capital)
=EBIT/Average of (Property, Plant and Equipment+Net Working Capital)
     Q: Dec. 2025  Q: Mar. 2026
=EBIT/( ( (Property, Plant and Equipment + Net Working Capital) + (Property, Plant and Equipment + Net Working Capital) )/ count )
=-22.68/( ( (1.196 + max(-15.363, 0)) + (1.046 + max(-13.571, 0)) )/ 2 )
=-22.68/( ( 1.196 + 1.046 )/ 2 )
=-22.68/1.121
=-2,023.19 %

Note: The EBIT data used here is four times the quarterly (Mar. 2026) EBIT data.

* 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.

What does a ROC (Joel Greenblatt) % of -2,023.19% mean?
DataMEDS AI (MEDS) has a ROC (Joel Greenblatt) % of -2,023.19% as of Mar. 2026. Joel Greenblatt's return on capital is the ratio of EBIT to average fixed assets and net working capital. View historical data on DataMEDS AI and its competitors. According to the industry distribution chart, DataMEDS AI ranks #119 out of 120 companies in the Medical Distribution industry, placing it in the top 99.2%.
Is DataMEDS AI's ROC (Joel Greenblatt) % too high?
DataMEDS AI's current ROC (Joel Greenblatt) % is -2,023.19%. Based on the distribution chart, DataMEDS AI ranks #119 out of 120 companies in the Medical Distribution industry, which is in the bottom quartile relative to peers.
How does DataMEDS AI's ROC (Joel Greenblatt) % compare to HEWA and BLMH?
According to the Medical Distribution industry distribution chart, DataMEDS AI ranks #119 out of 120 companies for ROC (Joel Greenblatt) %. This places DataMEDS AI in the lower half of its industry. The industry median ROC (Joel Greenblatt) % is 15.05. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good ROC (Joel Greenblatt) % for a Medical Distribution company?
The median ROC (Joel Greenblatt) % among Medical Distribution companies is 15.05, based on 120 companies in the industry. Companies in the top quartile (top 25%) have a ROC (Joel Greenblatt) % significantly above this median, while those in the bottom quartile fall well below. However, ROC (Joel Greenblatt) % should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high ROC (Joel Greenblatt) % mean?
A high ROC (Joel Greenblatt) % can signal that a stock is expensive relative to its fundamentals. Joel Greenblatt's return on capital is the ratio of EBIT to average fixed assets and net working capital. View historical data on DataMEDS AI and its competitors. For the Medical Distribution industry, the median ROC (Joel Greenblatt) % is 15.05 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. DataMEDS AI's current ROC (Joel Greenblatt) % is -2,023.19%. 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 ROC (Joel Greenblatt) % of -2,023.19%. The current ROC (Joel Greenblatt) % is -2,023.19%. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is ROC (Joel Greenblatt) % calculated?
ROC (Joel Greenblatt) % is calculated from a company's financial statements. For DataMEDS AI (MEDS), the current ROC (Joel Greenblatt) % is -2,023.19% as of Mar. 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.