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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. Predictiv AI's Total Liabilities for the quarter that ended in Mar. 2026 was $1.29 Mil. Predictiv AI's Total Assets for the quarter that ended in Mar. 2026 was $1.52 Mil.
Therefore, Predictiv AI's Liabilities-to-Assets Ratio for the quarter that ended in Mar. 2026 was 0.85.
Predictiv AI (OTCPK:PCIVF) 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.
Predictiv AI Liabilities-to-Assets Related Terms
Predictiv AI Liabilities-to-Assets Historical Data
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The historical data trend for Predictiv AI's Liabilities-to-Assets 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.
PCIVF vs MSFT, ORCL, PLTR: Liabilities-to-Assets Comparison
For the Software - Infrastructure subindustry, Predictiv AI'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.
Predictiv AI Liabilities-to-Assets vs Software Industry
For the Software industry and Technology sector, Predictiv AI's Liabilities-to-Assets distribution charts can be found below:
* The bar in red indicates where Predictiv AI's Liabilities-to-Assets falls into.
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.
Predictiv AI's Liabilities-to-Assets Ratio for the fiscal year that ended in Jan. 2025 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.
Predictiv AI (PCIVF) has a Liabilities-to-Assets of 0.85 as of Mar. 2026. Liabilities-to-Assets equals total liabilities divided by total assets. It measures financial leverage. View historical data on Predictiv AI and its competitors.
Is Predictiv AI's Liabilities-to-Assets too high?
Predictiv AI's current Liabilities-to-Assets is 0.85. Overall, Predictiv AI has a GF Score™ of 20/100, reflecting its overall financial health beyond just this single metric.
How does Predictiv AI's Liabilities-to-Assets compare to MSFT and ORCL?
Predictiv AI's Liabilities-to-Assets of 0.85 can be compared against companies in the Software 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 Software company?
A good Liabilities-to-Assets depends on the Software 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 Predictiv AI and its competitors. Predictiv AI's current Liabilities-to-Assets is 0.85. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Predictiv AI stock overvalued right now?
Predictiv AI (PCIVF) has a current Liabilities-to-Assets of 0.85. The current Liabilities-to-Assets is 0.85. Predictiv AI's overall GF Score™ is 20/100 with 5 warning signs to review. 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 Predictiv AI (PCIVF), the current Liabilities-to-Assets is 0.85 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.
Predictiv AI Inc is a Canadian artificial intelligence company focused on developing vertical AI applications for defined industries. The company's products address fleet operations and communications, including fleet management software, AI-based agents for voice, chat, and SMS, and tools designed to support structured operational workflows. Its segments include Shift: an AI-powered fleet and asset management platform that transforms how organizations monitor, optimize, and manage their vehicle fleets and equipment, HouseStack: an AI-driven automated valuation models and a next-generation digital brokerage platform, and CloudRep: AI-powered conversational voice agents tailored towards customer service operations for businesses. It derives the majority of revenue from the CloudRep segment.
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