PMEDF (QScreen AI) Return-on-Tangible-Asset: -314.64% (As of Jan. 2026)

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What is QScreen AI Return-on-Tangible-Asset?

QScreen AI PMEDF +26.62% Return-on-Tangible-Asset is -314.64% as of Jan. 2026. The stock has 1 warning sign investors should review. Among 856 Medical Devices & Instruments companies, QScreen AI ranks worse than 97.31% on this metric.

Return-on-Tangible-Asset is calculated as Net Income divided by its average total tangible assets. Total tangible assets equals to Total Assets minus Intangible Assets. QScreen AI's annualized Net Income for the quarter that ended in Jan. 2026 was $-1.13 Mil. QScreen AI's average total tangible assets for the quarter that ended in Jan. 2026 was $0.36 Mil. Therefore, QScreen AI's annualized Return-on-Tangible-Asset for the quarter that ended in Jan. 2026 was -314.64%.

The historical rank and industry rank for QScreen AI's Return-on-Tangible-Asset or its related term are showing as below:

PMEDF' s Return-on-Tangible-Asset Range Over the Past 10 Years
Min: -916.32   Med: -362.62   Max: -130.58
Current: -306.48

During the past 8 years, QScreen AI's highest Return-on-Tangible-Asset was -130.58%. The lowest was -916.32%. And the median was -362.62%.

PMEDF's Return-on-Tangible-Asset is ranked worse than
97.31% of 856 companies
in the Medical Devices & Instruments industry
Industry Median: 0.665 vs PMEDF: -306.48

QScreen AI  (OTCPK:PMEDF) Return-on-Tangible-Asset Explanation

Return-on-Tangible-Asset measures the rate of return on the average total tangible assets (total assets minus intangible assets). Tangible means physical in nature. Intangible Assets are assets that are not physical in nature, and typically "derive their value from legal or intellectual rights." Return-on-Tangible-Asset measures a firm's efficiency at generating profits from its tangible assets. It shows how well a company uses what it has to generate earnings. Return-on-Tangible-Assets can vary drastically across industries. Therefore, Return-on-Tangible-Asset should not be used to compare companies in different industries.


Be Aware

Like ROE and ROA, Return-on-Tangible-Asset is calculated with only 12 months data. Fluctuations in the company’s earnings or business cycles can affect the ratio drastically. It is important to look at the ratio from a long term perspective. Return-on-Tangible-Asset can be affected by events such as stock buyback or issuance, and by a company’s tax rate and its interest payment. Return-on-Tangible-Asset may not reflect the true earning power of the assets. A more accurate measurement is ROC % (ROC).

Many analysts argue the higher return the better. Buffett states that really high Return-on-Tangible-Asset may indicate vulnerability in the durability of the competitive advantage.


QScreen AI Return-on-Tangible-Asset Related Terms


QScreen AI Return-on-Tangible-Asset Historical Data

* Premium members only.

The historical data trend for QScreen AI's Return-on-Tangible-Asset 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.

QScreen AI Return-on-Tangible-Asset Chart

QScreen AI Annual Data
Trend Jan19 Jan20 Jan21 Jan22 Jan23 Jan24 Jan25 Jan26
Return-on-Tangible-Asset
Get a 7-Day Free Trial -256.41 -399.22 -916.67 -767.14 -365.80

QScreen AI Quarterly Data
Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24 Apr24 Jul24 Oct24 Jan25 Apr25 Jul25 Oct25 Jan26
Return-on-Tangible-Asset 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 Premium Member Only Premium Member Only Premium Member Only -1,187.37 -430.63 -149.64 -313.48 -314.64

PMEDF vs ABT, SYK, MDT: Return-on-Tangible-Asset Comparison

For the Medical Devices subindustry, QScreen AI's Return-on-Tangible-Asset, along with its competitors' market caps and Return-on-Tangible-Asset 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.


QScreen AI Return-on-Tangible-Asset vs Medical Devices & Instruments Industry

For the Medical Devices & Instruments industry and Healthcare sector, QScreen AI's Return-on-Tangible-Asset distribution charts can be found below:

* The bar in red indicates where QScreen AI's Return-on-Tangible-Asset falls into.



QScreen AI Return-on-Tangible-Asset Calculation

QScreen AI's annualized Return-on-Tangible-Asset for the fiscal year that ended in Jan. 2026 is calculated as:

Return-on-Tangible-Asset=Net Income/( (Total Tangible Assets+Total Tangible Assets)/ count )
(A: Jan. 2026 )  (A: Jan. 2025 )(A: Jan. 2026 )
=Net Income/( (Total Assets - Intangible Assets+Total Assets - Intangible Assets)/ count )
(A: Jan. 2026 )  (A: Jan. 2025 )(A: Jan. 2026 )
=-0.845/( (0.092+0.37)/ 2 )
=-0.845/0.231
=-365.80 %

QScreen AI's annualized Return-on-Tangible-Asset for the quarter that ended in Jan. 2026 is calculated as:

Return-on-Tangible-Asset=Net Income/( (Total Tangible Assets+Total Tangible Assets)/ count )
(Q: Jan. 2026 )  (Q: Oct. 2025 )(Q: Jan. 2026 )
=Net Income/( (Total Assets - Intangible Assets+Total Assets - Intangible Assets)/ count )
(Q: Jan. 2026 )  (Q: Oct. 2025 )(Q: Jan. 2026 )
=-1.128/( (0.347+0.37)/ 2 )
=-1.128/0.3585
=-314.64 %

* 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.

In the calculation of annual Return-on-Tangible-Asset, the net income of the last fiscal year and the average total tangible assets over the fiscal year are used. In calculating the quarterly data, the Net Income data used here is four times the quarterly (Jan. 2026) net income data.

What does a Return-on-Tangible-Asset of -314.64% mean?
QScreen AI (PMEDF) has a Return-on-Tangible-Asset of -314.64% as of Jan. 2026. Return on tangible assets is the ratio of current-period net income to average two-period tangible assets. View historical data on QScreen AI and its competitors. According to the industry distribution chart, QScreen AI ranks #833 out of 856 companies in the Medical Devices & Instruments industry, placing it in the top 97.3%.
Is QScreen AI's Return-on-Tangible-Asset too high?
QScreen AI's current Return-on-Tangible-Asset is -314.64%. Based on the distribution chart, QScreen AI ranks #833 out of 856 companies in the Medical Devices & Instruments industry, which is in the bottom quartile relative to peers.
How does QScreen AI's Return-on-Tangible-Asset compare to ABT and SYK?
According to the Medical Devices & Instruments industry distribution chart, QScreen AI ranks #833 out of 856 companies for Return-on-Tangible-Asset. This places QScreen AI in the lower half of its industry. The industry median Return-on-Tangible-Asset is 0.67. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Return-on-Tangible-Asset for a Medical Devices & Instruments company?
The median Return-on-Tangible-Asset among Medical Devices & Instruments companies is 0.67, based on 856 companies in the industry. Companies in the top quartile (top 25%) have a Return-on-Tangible-Asset significantly above this median, while those in the bottom quartile fall well below. However, Return-on-Tangible-Asset 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 Return-on-Tangible-Asset mean?
A high Return-on-Tangible-Asset can signal that a stock is expensive relative to its fundamentals. Return on tangible assets is the ratio of current-period net income to average two-period tangible assets. View historical data on QScreen AI and its competitors. For the Medical Devices & Instruments industry, the median Return-on-Tangible-Asset is 0.67 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. QScreen AI's current Return-on-Tangible-Asset is -314.64%. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is QScreen AI stock overvalued right now?
QScreen AI (PMEDF) has a current Return-on-Tangible-Asset of -314.64%. The current Return-on-Tangible-Asset is -314.64%. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Return-on-Tangible-Asset calculated?
Return-on-Tangible-Asset is calculated from a company's financial statements. For QScreen AI (PMEDF), the current Return-on-Tangible-Asset is -314.64% as of Jan. 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.

QScreen AI Business Description

Other Exchanges 3QP:GermanyQAI:Canada
Address 40 King Street West, Suite 2400, P.O. Box 215, Scotia Plaza, Toronto, ON, CAN, M5H 3Y2
QScreen AI Inc is focused on developing artificial intelligence (AI) powered technologies for general workplace health and safety, and for the health care industry. The company's business is focused on artificial intelligence (AI) technologies targeting two specific areas: workplace health and safety and healthcare. It is building a proprietary artificial intelligence engine with quantum inspired computing and physiological sensing to clinical and occupational health assessments across correctional facilities, addiction medicine rehabilitation, and industrial workforce screening in multiple jurisdictions. It operates in single segment.