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Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities, calculated as total liabilities divided by total asset. Predictive Technology Group's Total Liabilities for the quarter that ended in Mar. 2021 was $35.09 Mil. Predictive Technology Group's Total Assets for the quarter that ended in Mar. 2021 was $66.96 Mil.
Therefore, Predictive Technology Group's Liabilities-to-Assets Ratio for the quarter that ended in Mar. 2021 was 0.52.
Predictive Technology Group (OTCPK:PREDQ) Liabilities-to-Assets Explanation
Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities. It can vary greatly across different industries, as they have different capital structure. A high Liabilities-to-Assets ratio (more leveraged) suggests that the company might have potential solvency problems, or even a signal of financial distress. Conversely, a low Liabilities-to-Assets ratio usually indicates a healthy financial situation. However, it may also suggest that the company is not expanding or not making good use of debt.
Predictive Technology Group Liabilities-to-Assets Related Terms
Predictive Technology Group Liabilities-to-Assets Historical 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.
Predictive Technology Group Liabilities-to-Assets Chart
PREDQ vs GLMD, RCAR, CKPT: Liabilities-to-Assets Comparison
For the Biotechnology subindustry, Predictive Technology Group's Liabilities-to-Assets, along with its competitors' market caps and Liabilities-to-Assets 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.
Predictive Technology Group Liabilities-to-Assets vs Biotechnology Industry
For the Biotechnology industry and Healthcare sector, Predictive Technology Group's Liabilities-to-Assets distribution charts can be found below:
* The bar in red indicates where Predictive Technology Group's Liabilities-to-Assets falls into.
Predictive Technology Group Liabilities-to-Assets Calculation
Liabilities-to-Assets ratio measures the portion of the total liabilities to the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.
Liabilities-to-Assets ratio is calculated by dividing total liabilities by total asset.
Predictive Technology Group's Liabilities-to-Assets Ratio for the fiscal year that ended in Jun. 2020 is calculated as:
* 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.
Predictive Technology Group (PREDQ) has a Liabilities-to-Assets of 0.52 as of Mar. 2021. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Predictive Technology Group and its competitors.
Is Predictive Technology Group's Liabilities-to-Assets too high?
Predictive Technology Group's current Liabilities-to-Assets is 0.52.
How does Predictive Technology Group's Liabilities-to-Assets compare to GLMD and RCAR?
Predictive Technology Group's Liabilities-to-Assets of 0.52 can be compared against companies in the Biotechnology industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Liabilities-to-Assets for a Biotechnology company?
A good Liabilities-to-Assets depends on the Biotechnology industry context. However, Liabilities-to-Assets 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 Liabilities-to-Assets mean?
A high Liabilities-to-Assets can signal that a stock is expensive relative to its fundamentals. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Predictive Technology Group and its competitors. Predictive Technology Group's current Liabilities-to-Assets is 0.52. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Predictive Technology Group stock overvalued right now?
Predictive Technology Group (PREDQ) has a current Liabilities-to-Assets of 0.52. The current Liabilities-to-Assets is 0.52. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Liabilities-to-Assets calculated?
Liabilities-to-Assets is calculated from a company's financial statements. For Predictive Technology Group (PREDQ), the current Liabilities-to-Assets is 0.52 as of Mar. 2021. 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.
Predictive Technology Group Inc (PRx) is a biotechnology company. It develops, commercializes, acquires and invests in technologies engaged in novel molecular diagnostic and therapeutic products in healthcare. The HCT/P segment offers minimally manipulated tissue products intended for homologous use, prepared utilizing proprietary extraction methods that reduce the loss of important scaffolding, growth factors and cytokines. The company's Diagnostics and Therapeutics segment uses data analytics for disease identification and subsequent therapeutic intervention through novel gene-based diagnostics, and companion therapeutics. It generates most of its revenues from HCT/Ps segment.
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