KIDZ AI's Days Sales Outstanding for the
three
months ended in Mar. 2026 was 0.
KIDZ AI's Days Inventory for the
three
months ended in Mar. 2026 was 0.
KIDZ AI's Days Payable for the
three
months ended in Mar. 2026 was 48.1.
Therefore, KIDZ AI's Cash Conversion Cycle (CCC) for the
three
months ended in Mar. 2026 was -48.10.
KIDZ AI (NAS:KIDZ) Cash Conversion Cycle Explanation
Generally, the lower this number is, the better for the company. Although it should be combined with other metrics (such as ROE % and ROA %), it can be especially useful for comparing close competitors, because the company with the lowest CCC is often the one with better management.
Be Aware
CCC is most effective with retail-type companies, which have inventories that are sold to customers. Consulting businesses, software companies and insurance companies are all examples of companies for whom this metric is meaningless.
The CCC is one of several tools that can help you evaluate management, especially if it is calculated for several consecutive time periods and for several competitors. Decreasing or steady CCCs are good, while rising ones should motivate you to dig a bit deeper.
KIDZ AI Cash Conversion Cycle Related Terms
KIDZ AI Cash Conversion Cycle Historical Data
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The historical data trend for KIDZ AI's Cash Conversion Cycle 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.
KIDZ vs RPDL, NAUH, FCHL: Cash Conversion Cycle Comparison
For the Education & Training Services subindustry, KIDZ AI's Cash Conversion Cycle, along with its competitors' market caps and Cash Conversion Cycle 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.
KIDZ AI Cash Conversion Cycle vs Education Industry
For the Education industry and Consumer Defensive sector, KIDZ AI's Cash Conversion Cycle distribution charts can be found below:
* The bar in red indicates where KIDZ AI's Cash Conversion Cycle falls into.
Cash Conversion Cycle (CCC) measures how fast a company can convert cash on hand into even more cash on hand. This metric looks at the amount of time needed to sell inventory, the amount of time needed to collect receivables and the length of time the company is afforded to pay its bills without incurring penalties.
Cash Conversion Cycle is one of several measures of management effectiveness.
KIDZ AI's Cash Conversion Cycle for the fiscal year that ended in Dec. 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.
KIDZ AI (KIDZ) has a Cash Conversion Cycle of -48.10 as of Mar. 2026. Cash conversion cycle equals sum of days inventory and days sales outstanding less days payable. View historical data on KIDZ AI and its competitors.
Is KIDZ AI's Cash Conversion Cycle too high?
KIDZ AI's current Cash Conversion Cycle is -48.10. Overall, KIDZ AI has a GF Score™ of 8/100, reflecting its overall financial health beyond just this single metric.
How does KIDZ AI's Cash Conversion Cycle compare to RPDL and NAUH?
KIDZ AI's Cash Conversion Cycle of -48.10 can be compared against companies in the Education industry. The industry median Cash Conversion Cycle is 9.69. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Cash Conversion Cycle for an Education company?
The median Cash Conversion Cycle among Education companies is 9.69, based on 256 companies in the industry. Companies in the top quartile (top 25%) have a Cash Conversion Cycle significantly above this median, while those in the bottom quartile fall well below. However, Cash Conversion Cycle 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 Cash Conversion Cycle mean?
A high Cash Conversion Cycle can signal that a stock is expensive relative to its fundamentals. Cash conversion cycle equals sum of days inventory and days sales outstanding less days payable. View historical data on KIDZ AI and its competitors. For the Education industry, the median Cash Conversion Cycle is 9.69 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. KIDZ AI's current Cash Conversion Cycle is -48.10. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is KIDZ AI stock overvalued right now?
KIDZ AI (KIDZ) has a current Cash Conversion Cycle of -48.10. The current Cash Conversion Cycle is -48.10. KIDZ AI's overall GF Score™ is 8/100 with 6 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Cash Conversion Cycle calculated?
Cash Conversion Cycle is calculated from a company's financial statements. For KIDZ AI (KIDZ), the current Cash Conversion Cycle is -48.10 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.
KIDZ AI Inc is an AI-driven education technology company transforming live teaching experience into proprietary AI-powered learning systems. By integrating artificial intelligence, AI agents, and robotics, it is building a world-wide education infrastructure designed to make learning outcomes measurable, verifiable, and accessible across borders. The Company is strategically expanding into AI compute infrastructure, GPU cloud platforms, and data center ecosystems.
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