- Common Ratios in Financial Analysis
- Inventory Turnover and Days of Inventory on Hand (DOH)
- Receivables Turnover and Days of Sales Outstanding (DSO)
- Payables Turnover and Number of Days of Payables
- Working Capital Turnover Ratio
- Fixed Asset and Total Asset Turnover Ratio
- Activity Ratios – Video Summary
- Liquidity Ratios (Current Ratio, Quick Ratio, and Others)
- Cash Conversion Cycle (CCC)
- Solvency Ratios
- Profitability Ratios
- DuPont Analysis
- Valuation Ratios
- Financial Ratios: Uses and Limitations
Working Capital Turnover Ratio
Working capital turnover ratio reflects how effectively the company is using its working capital. Working capital turnover ratio measures how much revenue a company generates from every dollar of capital invested during a year.
Formula
Example
Assume that a company has $1.2 million in sales for the year. Its current assets were $700,000, and current liabilities were $500,000. The working capital will be $200,000 ($700,000 - $500,000).
The working capital turnover ratio will be $1,200,000/$200,000 = 6.
Interpretation
A working capital turnover ratio of 6 indicates that the company is generating $6 for every $1 of working capital.
Analysis
While analyzing a company, this ratio is compared to that of its peers, and/or its own historical records.
A high working capital turnover is considered good as it indicates that the company is generating good sales compared to the funds invested in operations, i.e., the company is very efficient.
For some companies, there may be very low working capital, in which case this ratio will be useless. Such companies will use other ratios such as Fixed Asset Turnover or Total Asset Turnover.
Related Downloads
Related Quizzes
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.