

What is food cost variance? And how is it controlled?
Does this sound familiar? You have a winning dish—customers are crazy about it, but when the new cook prepares it, the sauce comes out a bit different, or the portion size on the plate suddenly changes. When you ask the chef for the exact cost of the dish, you usually get a quick calculation on a napkin or a something like: "Around 18 shekels, give or take."
A profitable restaurant has no "around". This is where the most important concept in a professional kitchen comes in: the bill of materials (BOM).
What is food cost variance?
If you are like most restaurants, you probably have a high stack of invoices on the table and you're likely checking your food costs once a week or at best, once a month, or not checking at all. When you start reviewing your invoices and notice that the costs of some products have changed significantly from what you expected.The difference between the actual food cost and the expected food cost is your food cost variance.
Why do we need to measure food cost variance?
Measuring food cost variance is an essential task for every restaurant; it helps maintain your product pricing review process. It allows you to calculate your food cost percentage, create sales forecasts, understand your suppliers, and the efforts and ways needed to manage your inventory. Efficient and profitable restaurants will keep their food cost variance low and will be able to explain in detail why there is a disparity between the actual figures and the expected cost.
How is food cost variance calculated?
Food cost variance = (Actual price * Actual quantity) – (Expected price * Expected quantity)
Essentially, you take the actual cost, subtract the expected cost, and get the food cost variance.
Actual cost
Actual price is what you are currently paying for the products. This cost fluctuates according to market trends and seasonality.
Actual quantity is the quantity of products you are currently purchasing.
Expected cost
Here comes the tough part. Expected cost is based on previous information that has been gathered.
Expected price is the average price of a specific product over a selected period of time. Collecting historical data allows you to