Predictiv AIPCIVF +156.92%20 Return-on-Tangible-Asset is -170.59% as of Mar. 2026. GuruFocus rates PCIVF with a GF Score™ of 20/100. The stock has 4 warning signs investors should review. Among 2,883 Software companies, Predictiv AI ranks worse than 89.28% 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. Predictiv AI's annualizedNet Income for the quarter that ended in Mar. 2026 was $-1.51 Mil. Predictiv AI's average total tangible assets for the quarter that ended in Mar. 2026 was $1.03 Mil. Therefore, Predictiv AI's annualized Return-on-Tangible-Asset for the quarter that ended in Mar. 2026 was -170.59%.
The historical rank and industry rank for Predictiv AI's Return-on-Tangible-Asset or its related term are showing as below:
PCIVF'
s Return-on-Tangible-Asset Range Over the Past 10 Years
Min: -2284.86 Med: -316.99 Max: -79.82
Current: -79.82
During the past 13 years, Predictiv AI's highest Return-on-Tangible-Asset was -79.82%. The lowest was -2284.86%. And the median was -316.99%.
PCIVF's Return-on-Tangible-Asset is ranked worse than 89.28% of 2883
companies
in the Software industry
Industry Median: 2.04
vs PCIVF: -79.82
Predictiv AI (OTCPK:PCIVF) 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 companys 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 companys 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.
Predictiv AI Return-on-Tangible-Asset Related Terms
Predictiv AI Return-on-Tangible-Asset Historical Data
* Premium members only.
The historical data trend for Predictiv 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.
PCIVF vs MSFT, ORCL, PLTR: Return-on-Tangible-Asset Comparison
For the Software - Infrastructure subindustry, Predictiv 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.
Predictiv AI Return-on-Tangible-Asset vs Software Industry
For the Software industry and Technology sector, Predictiv AI's Return-on-Tangible-Asset distribution charts can be found below:
* The bar in red indicates where Predictiv AI's Return-on-Tangible-Asset falls into.
* 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 (Mar. 2026) net income data.
What does a Return-on-Tangible-Asset of -170.59% mean?
Predictiv AI (PCIVF) has a Return-on-Tangible-Asset of -170.59% as of Mar. 2026. Return on tangible assets is the ratio of current-period net income to average two-period tangible assets. View historical data on Predictiv AI and its competitors. According to the industry distribution chart, Predictiv AI ranks #2574 out of 2883 companies in the Software industry, placing it in the top 89.3%.
Is Predictiv AI's Return-on-Tangible-Asset too high?
Predictiv AI's current Return-on-Tangible-Asset is -170.59%. Based on the distribution chart, Predictiv AI ranks #2574 out of 2883 companies in the Software industry, which is in the bottom quartile relative to peers. 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 Return-on-Tangible-Asset compare to MSFT and ORCL?
According to the Software industry distribution chart, Predictiv AI ranks #2574 out of 2883 companies for Return-on-Tangible-Asset. This places Predictiv AI in the lower half of its industry. The industry median Return-on-Tangible-Asset is 2.04. 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 Software company?
The median Return-on-Tangible-Asset among Software companies is 2.04, based on 2,883 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 Predictiv AI and its competitors. For the Software industry, the median Return-on-Tangible-Asset is 2.04 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Predictiv AI's current Return-on-Tangible-Asset is -170.59%. 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 Return-on-Tangible-Asset of -170.59%. The current Return-on-Tangible-Asset is -170.59%. Predictiv AI's overall GF Score™ is 20/100 with 4 warning signs to review. 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 Predictiv AI (PCIVF), the current Return-on-Tangible-Asset is -170.59% 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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