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Redwood AIRDWCF -1.43%14 Receivables Turnover is 0.00 as of May. 2026. GuruFocus rates RDWCF with a GF Score™ of 14/100. Among 2,782 Software companies, Redwood AI ranks worse than 35945.33% on this metric.
The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Redwood AI's Revenue for the
three
months ended in May. 2026 was $0.00 Mil. Redwood AI's average Accounts Receivable for the
three
months ended in May. 2026 was $0.00 Mil.
Redwood AI (OTCPK:RDWCF) Receivables Turnover Explanation
An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.
Redwood AI Receivables Turnover Related Terms
Redwood AI Receivables Turnover Historical Data
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The historical data trend for Redwood AI's Receivables Turnover 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.
RDWCF vs IBM, ACN, CTSH: Receivables Turnover Comparison
For the Information Technology Services subindustry, Redwood AI's Receivables Turnover, along with its competitors' market caps and Receivables Turnover 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.
Redwood AI Receivables Turnover vs Software Industry
For the Software industry and Technology sector, Redwood AI's Receivables Turnover distribution charts can be found below:
* The bar in red indicates where Redwood AI's Receivables Turnover 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.
Redwood AI (RDWCF) has a Receivables Turnover of 0.00 as of May. 2026. The accounts receivables turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by Average Accounts Receivable. View historical data on Redwood AI and its competitors. According to the industry distribution chart, Redwood AI ranks #999999 out of 2782 companies in the Software industry.
Is Redwood AI's Receivables Turnover too high?
Redwood AI's current Receivables Turnover is 0.00. Based on the distribution chart, Redwood AI ranks #999999 out of 2782 companies in the Software industry, which is in the bottom quartile relative to peers. Overall, Redwood AI has a GF Score™ of 14/100, reflecting its overall financial health beyond just this single metric.
How does Redwood AI's Receivables Turnover compare to IBM and ACN?
According to the Software industry distribution chart, Redwood AI ranks #999999 out of 2782 companies for Receivables Turnover. This places Redwood AI in the lower half of its industry. The industry median Receivables Turnover is 6.05. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Receivables Turnover for a Software company?
The median Receivables Turnover among Software companies is 6.05, based on 2,782 companies in the industry. Companies in the top quartile (top 25%) have a Receivables Turnover significantly above this median, while those in the bottom quartile fall well below. However, Receivables Turnover 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 Receivables Turnover mean?
A high Receivables Turnover can signal that a stock is expensive relative to its fundamentals. The accounts receivables turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by Average Accounts Receivable. View historical data on Redwood AI and its competitors. For the Software industry, the median Receivables Turnover is 6.05 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Redwood AI's current Receivables Turnover is 0.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Redwood AI stock overvalued right now?
Redwood AI (RDWCF) has a current Receivables Turnover of 0.00. The current Receivables Turnover is 0.00. Redwood AI's overall GF Score™ is 14/100. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Receivables Turnover calculated?
Receivables Turnover is calculated from a company's financial statements. For Redwood AI (RDWCF), the current Receivables Turnover is 0.00 as of May. 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.
Redwood AI Corp is a Vancouver-based artificial intelligence company. It is engaged in providing software and analytics solutions for chemical and pharmaceutical development. Its platform integrates AI models, cheminformatics, and operational data to support synthesis planning, process optimization, and supply-chain decision-making, helping reduce time, cost, and risk from early development through commercialization.
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