Same-store sales - Wikipedia, the free encyclopedia

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Office Depot loss narrows as same-store sales fall | Byron Shaw

Same-store sales are widely reported by publicly owned retail chains as a key element of their operational results. For chains that are growing quickly by opening new outlets, same store sales figures allow analysts to differentiate between revenue growth that comes from new stores, and growth from improved operations at existing outlets.

Growing same store sales can be explained by a number of reasons, including: marketshare gains in a retailer's trade areas; higher average purchases and/or more frequent customer visits; and successfully into a broader product range or to more expensive ones.

Store Sales Column Chart Examples and Templates

  • Comp store growth reporting to the market is often generated by commercial roles having a strong connection to fiscal periods. This tends to drive comp criteria where store sales are assessed in monthly buckets.
  • Retail operations however, tend to manage in weekly time buckets which correspond to consumer shopping cycles. Operational reporting thus tends to use comp criteria where store sales are assessed in weekly buckets.
  • With most retail trade subject to seasonal cycles, most comp growth sales looks at year-on-year (YOY) comparisons
  • Comp Growth can also be considered for different time periods such as
    • Week
    • Month-on-Month
    • Half-to-Date (HTD)
    • Year-to-Date (YTD)

McDonald’s Same-Store Sales Drop Less Than Estimate

Sustained negative same store sales is a sure telltale that a retailer is in trouble. As large retail chains expand geographically they eventually run out of prime locations and often end up cannibalizing their existing stores to some extent, which leads to a relative decline in this metric. A rapid expansion in the number of stores followed a few years later by weak same store sales numbers shows (in hindsight) that the store additions might have been careless or rushed.

Specific store sales can also be compared. For example, a retail chain's finding that its same store sales at location A for the week-long shopping rush before Christmas are greater than those at location B is a useful piece of data. That data would have been less useful if only chain-wide sales for that week were known (with all stores averaged together), or if only year-long sales were known for that particular store. This makes same store sales a useful metric not only for external assessments of a retailer's performance, but also for internal benchmarking guiding store opening, remodelling and closing decisions.