Gross margin return on inventory investment
Gross Margin Return on Inventory Investment (GMROII) is a ratio in microeconomics that describes a seller's return on every unit of currency spent on inventory. It is one way to determine how profitable the seller's inventory is, and describes the relationship between the profit earned from total sales, and the amount invested in the inventory sold. Generally for a seller, the higher the GMROII the better. Since the inventory is a very widely ranging factor in a seller's investment in working capital, it is important for the seller to know how  much he might expect to gain from it. The GMROII answers the question "for each unit of average inventory held at cost, how many units of currency of gross profit I generated in one year?" GMROII is traditionally calculated by using one year's gross profit against the average of 12 or 13 units of inventory at cost. GMROII may vary depending on which segment we are analyzing (Women Apparel, Toys, Home, Sport Ware, etc.), but a rule of thumb is that a GMROII of typical retailer is above 3.0. GMROII in the Retail Industry. GMROII is particularly important in  the retail industry where stock turn (i.e. sales units divided by average inventory units) and Gross Margin Percent can vary heavily by item, market segment, location, and period. GMROII can act as the main driver for retailers to analyze their product and store offering. This metric does not suffer from the major disadvantages some of the other main performance metrics do. For example: Retailers usually drive their business based on sales or margin. In a retailer where budgets and bonuses are based on sales, employees often achieve that by lowering the margin or putting too much stock in their stores . A high GMROII indicates a good balance of sales, margin, and inventory cost. Average GMROII. Financial textbooks often show a formula with a yearly or monthly calculation. When tactical decisions are required for variable time periods, it is helpful for systems to be set up so that GMROII can be analyzed at either the yearly, monthly, or weekly level. Due to the textbook GMROII formula, depending on the time period, a different result would occur. For example: Therefore, it is advantageous to use Average Weekly GMROII which takes time out of the picture. That way, the retailer looks at similar  types of numbers regardless of how many weeks are being looked at. The formula is: Average Weekly GMROII = (Profits for the total time period) / (Sum of week ending inventory cost value) Alternative Formulas for GMROII. Other formulas that are often given for GMROII are the following (note that all of these are mathematically equivalent because all can be reduced down to Margin/Avg_Inventory_cost): formula_1 formula_2 formula_3 In the formulas used here, "Margin %" refers to margin as a percent of sales, "Annual Inventory Turns" refers to COGS / Avg Inventory Cost. American Levi's GMROII. American Levi's GMROII is a  hybrid of GMROII and GMROS (Gross Margin Return On Space) that takes the selling price of an article into account: formula_4 formula_5 When deciding whether to stock jeans in a retail store, it makes more sense for Levi's to sell jeans for $100 rather than jeans for $10, if they both have the same conventional GMROII. By using the American Levi's GMROII, you see that the $100 jeans deliver 10 times the margin dollars on the space occupied by each pair of jeans in stock, compared to the $10 jeans. Net Profit will increase  more than 10 times due to operating leverage. Note that GMROS can be calculated by multiplying American Levi's GMROII by Density (Units per square foot). Gross Margin Dollars per Square Foot: formula_6 Short-coming of GMROII. A short-coming of GMROII driven analysis is that items with high sell-offs (i.e. the final stock level falls towards zero) appear better than items with constant inventory supplies. Fashionable items that totally sold off will appear better than basic items such as black socks that are replenished by reorders. This is particularly evident when analyzing shorter time periods or item level  information rather than higher level (department) information.