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DataMEDS AIMEDS +3.47% EV-to-EBITDA is -0.41 as of Sep. 10, 2026. The stock has 7 warning signs investors should review. Among 99 Medical Distribution companies, DataMEDS AI ranks worse than 1010100% on this metric.
EV-to-EBITDA is calculated as enterprise value divided by its EBITDA. As of today, DataMEDS AI's enterprise value is $33.03 Mil.
DataMEDS AI's EBITDA for the trailing twelve months (TTM) ended in Jun. 2026 was $-80.02 Mil. Therefore, DataMEDS AI's EV-to-EBITDA for today is -0.41.
The historical rank and industry rank for DataMEDS AI's EV-to-EBITDA or its related term are showing as below:
MEDS'
s EV-to-EBITDA Range Over the Past 10 Years
Min: -57.54 Med: -0.88 Max: -0.37
Current: -0.41
During the past 4 years, the highest EV-to-EBITDA of DataMEDS AI was -0.37. The lowest was -57.54. And the median was -0.88.
MEDS's EV-to-EBITDA is ranked worse than 100% of 99
companies
in the Medical Distribution industry
Industry Median: 8.29
vs MEDS: -0.41
EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.
EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio (TTM) to determine the fair market value of a company.
DataMEDS AI's PE Ratio (TTM) for today is calculated as:
DataMEDS AI's share price for today is $0.880551.
DataMEDS AI's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Jun. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-46.130.
* 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.
Study has found that the companies with the lowest EV-to-EBITDA outperforms companies measured as cheap by other ratios such as PE Ratio (TTM).
The historical data trend for DataMEDS AI's EV-to-EBITDA 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.
For the Medical Distribution subindustry, DataMEDS AI's EV-to-EBITDA, along with its competitors' market caps and EV-to-EBITDA 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 EV-to-EBITDA vs Medical Distribution Industry
For the Medical Distribution industry and Healthcare sector, DataMEDS AI's EV-to-EBITDA distribution charts can be found below:
* The bar in red indicates where DataMEDS AI's EV-to-EBITDA falls into.
DataMEDS AI's current Enterprise Value is $33.03 Mil.
DataMEDS AI's EBITDA for the trailing twelve months (TTM) ended in Jun. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-80.02 Mil.
* 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 (MEDS) has a EV-to-EBITDA of -0.41 as of Sep. 10, 2026. EV to EBITDA ratio is the company's enterprise value divided by earnings before interest, taxes, depreciation and amortization. View historical data on DataMEDS AI. According to the industry distribution chart, DataMEDS AI ranks #999999 out of 99 companies in the Medical Distribution industry.
Is DataMEDS AI's EV-to-EBITDA too high?
DataMEDS AI's current EV-to-EBITDA is -0.41. Based on the distribution chart, DataMEDS AI ranks #999999 out of 99 companies in the Medical Distribution industry, which is in the bottom quartile relative to peers.
How does DataMEDS AI's EV-to-EBITDA compare to SNYR and MCK?
According to the Medical Distribution industry distribution chart, DataMEDS AI ranks #999999 out of 99 companies for EV-to-EBITDA. This places DataMEDS AI in the lower half of its industry. The industry median EV-to-EBITDA is 8.29. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good EV-to-EBITDA for a Medical Distribution company?
The median EV-to-EBITDA among Medical Distribution companies is 8.29, based on 99 companies in the industry. Companies in the top quartile (top 25%) have a EV-to-EBITDA significantly above this median, while those in the bottom quartile fall well below. However, EV-to-EBITDA 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 EV-to-EBITDA mean?
A high EV-to-EBITDA can signal that a stock is expensive relative to its fundamentals. EV to EBITDA ratio is the company's enterprise value divided by earnings before interest, taxes, depreciation and amortization. View historical data on DataMEDS AI. For the Medical Distribution industry, the median EV-to-EBITDA is 8.29 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. DataMEDS AI's current EV-to-EBITDA is -0.41. 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 EV-to-EBITDA of -0.41. The current EV-to-EBITDA is -0.41. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is EV-to-EBITDA calculated?
EV-to-EBITDA is calculated from a company's financial statements. For DataMEDS AI (MEDS), the current EV-to-EBITDA is -0.41 as of Sep. 10, 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.
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.
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