BigCommerce orders in a live spreadsheet
Add the Orders table to a sheet as a data source named orders and its 35 columns become names your formulas, pivot tables and charts use. Sheets reads it from your BigCommerce store each time the sheet opens or refreshes.
Formulas on this table
=data.orders.sum(total) Total total. Adds up the Total column over every row of Orders.
=data.orders.sum(total, status, A2) Total per status. With a status in A2, the total for that one. Fill it down next to a list of them.
=list.orders(status) Every status, once. Spills the distinct status values down the column: the row labels for the formula above.
=data.orders.sum(total, date, ">=2026-01-01") Since a date. Only rows whose Date is on or after 1 January 2026. Criteria such as ">=", "<" and "<>" work as in any spreadsheet.
=data.orders.count(date, status, "<>") Rows with a status. Counts the rows whose Status is not empty.
=data.orders.avg(total_excl_tax) Average total excl. tax. avg, min, max, count, countd (distinct) and first work the same way as sum.
Reports that use it
=data.orders.sum(net_total, counts_as_sale, TRUE) Net sales. Order totals after refunds, for every order that counts as a sale (paid, being fulfilled, shipped, completed or refunded).
=data.orders.sum(net_total, month, A2, counts_as_sale, TRUE) Net sales per month. List the months with =list.orders(month) in column A and the net sales beside each one.
=data.orders.avg(total, counts_as_sale, TRUE) Average order. Average order total over the orders that count as sales.
=data.orders.sum(net_total, country, A2, counts_as_sale, TRUE) Sales by country. Net sales per billing country in column A.
=data.orders.count(id, status, A2) Orders per status. How many orders are awaiting payment, awaiting fulfillment, shipped, completed and so on. Put a status in A2.
=data.orders.sum(net_total, channel_id, A2, counts_as_sale, TRUE) Sales per storefront. Net sales per channel, for stores that sell on several storefronts. Put a channel ID in A2.
Columns
| Column | In formulas | Type |
|---|---|---|
| Date | date | Date |
| Month | month | Text |
| Order number | order_number | Text |
| Status | status | Text |
| Counts as sale | counts_as_sale | Yes / no |
| Total | total | Number |
| Total excl. tax | total_excl_tax | Number |
| Items subtotal | items_subtotal | Number |
| Discount | discount | Number |
| Shipping | shipping | Number |
| Tax | tax | Number |
| Refunded | refunded | Number |
| Net total | net_total | Number |
| Items | items | Whole number |
| Items shipped | items_shipped | Whole number |
| Currency | currency | Text |
| Customer | customer | Text |
e_mail | Text | |
| Company | company | Text |
| Country | country | Text |
| Country code | country_code | Text |
| State | state | Text |
| City | city | Text |
| Postcode | postcode | Text |
| Guest | guest | Yes / no |
| Customer ID | customer_id | Text |
| Customer: Group | customer_group | Text |
| Customer: Registered | customer_registered | Date |
| Payment method | payment_method | Text |
| Payment status | payment_status | Text |
| Order source | order_source | Text |
| Channel ID | channel_id | Text |
| Channel | channel | Text |
| Shipped on | shipped_on | Date |
| ID | id | Text |
Other sales tables
Your orders, live
Orders, refunds, products, customers and coupons become live tables inside your BigCommerce control panel. Sales reports and dashboards stay current without exporting a CSV.