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In accounting, the inventory turnover is a measure of the number of times inventory is sold or used in a time period such as a year. It is calculated to see if a business has an excessive inventory in comparison to its sales level. The equation for inventory turnover equals the cost of goods sold divided by the average inventory.
The Drug Industry Documents Archive (DIDA) is a digital archive of pharmaceutical industry documents created and maintained by the University of California, San Francisco, Library and Center for Knowledge Management. DIDA is a part of the larger UCSF Industry Documents Library which includes the Truth Tobacco Industry Documents.
The average inventory is the average of inventory levels at the beginning and end of an accounting period, and COGS/day is calculated by dividing the total cost of goods sold per year by the number of days in the accounting period, generally 365 days. [3] This is equivalent to the 'average days to sell the inventory' which is calculated as: [4]
Average Days to Sell Inventory = Number of Days a Year / Inventory Turnover Ratio = 365 days a year / Inventory Turnover Ratio This ratio estimates how many times the inventory turns over a year. This number tells how much cash/goods are tied up waiting for the process and is a critical measure of process reliability and effectiveness.
Inventory planning involves using forecasting techniques to estimate the inventory required to meet consumer demand. [ 1 ] [ 2 ] [ 3 ] The process uses data from customer demand patterns, market trends , supply patterns, and historical sales to generate a demand plan that predicts product needs over a specified period.
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All the ratios listed above can be written as industry averages (something) such as industry averages profitability ratio, represents for the average figures of profitability ratio for a certain industry. [18] Through compare those ratios of a business with the industry averages could obtain its position within the industry.
The following table lists the largest biotechnology and pharmaceutical companies ranked by revenue in billion USD. The change column indicates the company's relative position in this list compared to its relative position in the preceding year; i.e., an increase would be moving closer to rank 1 and vice versa.