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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. Rewardle Holdings's Revenue for the
six
months ended in Jun. 2025 was A$4.45 Mil. Rewardle Holdings's average Accounts Receivable for the
six
months ended in Jun. 2025 was A$0.05 Mil.
Hence, Rewardle Holdings's Receivables Turnover for the
six
months ended in Jun. 2025 was 89.94.
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.
Rewardle Holdings Receivables Turnover Related Terms
Rewardle Holdings Receivables Turnover Historical Data
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The historical data trend for Rewardle Holdings'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.
ASX:RXH vs MSFT, ORCL, ADBE: Receivables Turnover Comparison
For the Software - Infrastructure subindustry, Rewardle Holdings'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.
Rewardle Holdings Receivables Turnover vs Software Industry
For the Software industry and Technology sector, Rewardle Holdings's Receivables Turnover distribution charts can be found below:
* The bar in red indicates where Rewardle Holdings'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.
Rewardle Holdings (ASX:RXH) has a Receivables Turnover of 89.94 as of Jun. 2025. 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 Rewardle Holdings and its competitors.
Is Rewardle Holdings' Receivables Turnover too high?
Rewardle Holdings' current Receivables Turnover is 89.94. The Software industry median Receivables Turnover is 5.72. Rewardle Holdings' value of 89.94 is 1472.4% above this industry median.
How does Rewardle Holdings' Receivables Turnover compare to MSFT and ORCL?
Rewardle Holdings' Receivables Turnover of 89.94 can be compared against companies in the Software industry. The industry median Receivables Turnover is 5.72. Rewardle Holdings' value of 89.94 is 1472.4% above this benchmark. 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 5.72, based on 2,781 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. Rewardle Holdings's current Receivables Turnover of 89.94 is 1472.4% above the industry median. 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 Rewardle Holdings and its competitors. For the Software industry, the median Receivables Turnover is 5.72 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Rewardle Holdings's current Receivables Turnover is 89.94. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Rewardle Holdings stock overvalued right now?
Rewardle Holdings (ASX:RXH) has a current Receivables Turnover of 89.94. The stock's GF Value™ is A$0.21, compared to a current price of A$0.03 — trading 86.2% below its estimated fair value. The current Receivables Turnover is 89.94 and 1472.4% above the Software industry median of 5.72. 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 Rewardle Holdings (ASX:RXH), the current Receivables Turnover is 89.94 as of Jun. 2025. 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.
Rewardle Holdings Ltd provides a digital customer engagement platform for local small-to-medium size enterprise merchants. It provides a platform that combines membership, points, rewards, mobile ordering, and payments with social media integrations into a single cloud-based platform powered by big data analysis.
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