Applied Predictive Technologies (APT) today announced that in-store retail sales for January 2015 increased +2.8 percent compared with January 2014. Restaurant same-store sales were also strong for the month, increasing +7.4 percent year-over-year.
However, some cities in the Northeast seemed to be affected by winter storms during January. The APT Index showed restaurant sales down, with the worst performance in Boston with +0.6 percent and New York at -0.2 percent.
Patrick O’Reilly, APT President & COO, says, “We’re seeing strong sales performance in January across both retail and restaurants. While the APT Index showed slight negative effects in areas that were hit by large storms this year, sales were strong overall. APT has been consistently providing information about how retail and restaurant sales are doing across the U.S. In addition to this, we are very excited to launch sub-segments for both of these industries, which will enable companies to more accurately compare performance to their peers.”
January Restaurant Sales – by APT Index numbers:
Restaurant sales soared in January 2015, according to the APT Index. This increase was driven by more patrons and larger checks.
The Big Picture
· Overall restaurant sales: +7.4 percent, due to increased number of checks and larger check size
· Quick-Service sales: +6.5 percent
· Full-Service sales: +7.6 percent
Restaurant Sales Strong, Despite Temperature Changes
· In areas where temperature increased five to 10 degrees year-over-year, the APT Index of Restaurant Sales increased +10.2 percent
· In areas where temperature increased zero to five degrees year-over-year, the APT Index of Restaurant Sales increased +6.8 percent
· In areas where temperature decreased year-over-year, the APT Index of Restaurant Sales increased +5.6 percent
The APT Index aggregates data from sales registers at over 100,000 stores across the U.S. to show how year-over-year performance changes for same-store sales in the physical channel. Unlike other sources, the APT Index is based on actual sales data, allowing APT to make statistically significant observations about retail and restaurant sales.
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