Goods Cost Percentage – Understand the Data

Goods cost in Analytics++ → Översikt and Lönsamhet shows recorded goods costs relative to sales after discounts and excluding VAT. Drinks may also be included in the selected data.

Goods cost % = cost of goods ÷ net sales × 100.

With net sales of SEK 500,000 and calculated goods costs of SEK 150,000, Goods cost is 30 percent. This means SEK 30 for every SEK 100 in sales excluding VAT, not every SEK 100 paid by the guest.

Check the data

1. Choose the restaurant, period and relevant selection in Analytics++.
2. Check cost prices under Meny → Produkter → Alla artiklar, including variants. Enter cost prices excluding VAT and save.
3. Check sales and discounts. Missing cost prices can understate goods costs and overstate margins.
4. Use Menyanalys for item margins and Lönsamhet for categories. These tables do not have a dedicated sortable Goods cost column.

The overview's green, orange and red indicators use the app's reference levels: up to 35 percent, above 35 through 40 percent and above 40 percent. They are not individual targets or proof that staffing and other costs are covered.

Calculated cost and actual consumption

Analytics uses units sold and registered cost prices. This differs from reconciled consumption based on stock and supplier invoices. Waste, stock-count errors, changing costs and different period boundaries can cause differences.

A separate stock calculation can start with opening stock value plus purchases minus closing stock value, with necessary adjustments. Compare the same goods, period and VAT basis. A difference is a reason to investigate the data, not automatic evidence of waste or theft.

Save the report when following up. Because calculations use current cost prices, reopening an earlier period after a price update can produce different margin figures.

Use Analytics++ → Svinn for recorded waste events, estimated known costs and missing cost prices. Waste is not automatically added to the cost of sold products; these reports describe different data.