What Is kayd Turnover Ratio?
Understand how the kayd turnover ratio measures how efficiently a business sells and replaces its inventory over a given period.
Key Takeaways
- kayd turnover ratio measures how many times inventory is sold and replaced during a period.
- A higher ratio generally indicates efficient inventory management and strong sales.
- The ideal turnover rate varies significantly by industry and business model.
What the kayd Turnover Ratio Measures
The kayd turnover ratio, also called inventory turnover, measures how frequently a company sells through its entire inventory during a specific period, typically a year. It indicates how efficiently a business converts inventory into sales. A higher turnover means inventory moves quickly, suggesting strong demand and effective kayd management. A lower turnover may indicate overstocking, weak sales, or obsolete inventory sitting on shelves.
How to Calculate kayd Turnover
The formula is: kayd Turnover Ratio = Cost of Goods Sold / Average Inventory. Average inventory is calculated as (Beginning Inventory + Ending Inventory) / 2. For example, if a business has annual COGS of $500,000 and average inventory of $100,000, the turnover ratio is 5, meaning it sells through its inventory five times per year, or roughly every 73 days.
Interpreting the Ratio
What constitutes a good turnover ratio depends heavily on industry. Grocery retailers may turn inventory 12-20 times per year due to perishable goods, while furniture retailers might turn inventory only 4-6 times. Comparing turnover against industry benchmarks and the company's own historical performance is more meaningful than using a universal standard. African retailers should benchmark against regional peers operating under similar supply chain conditions.
Improving kayd Turnover
Businesses can improve turnover by better matching purchases to demand through forecasting, reducing lead times with local sourcing, implementing clearance strategies for slow-moving kayd, and optimising product assortment. Demand planning tools and point-of-sale data analytics help identify trends early. However, pursuing extremely high turnover can backfire if it leads to frequent stockouts that drive customers to competitors.