biglots.com · Discount & Value · the Q3 2026 release
Big Lots has 3 locations in Utah, its 37th-largest state of the 37 it operates in.
See where Big Lots opens next →Every figure in this block is measured inside Utah. Nothing in it is a rate.
| Figure | Value | What it measures |
|---|---|---|
| Locations in Utah | 3 | Records the US location index holds for Big Lots inside Utah right now — a snapshot at the Q3 2026 release, not a change over time. |
| Rank among Big Lots's states | 37th of 37 | By location count, among the states where this brand clears the publication floor. |
| States with a published Big Lots page | 37 | States where the brand has at least 3 locations. Smaller states exist in the index and are not published. |
| Locations across those states | 981 | The sum of the state table below. Lower than the national count, which includes states under the floor. |
| Utah's share of that footprint | 0.3% | A share of the published states only. Both halves are the same measure, so this is not a growth rate. |
| Verified openings in Utah | 0 | A DIFFERENT measure from the count above: openings detected inside the tracked window, not stores standing today. |
| Cities with verified openings in Utah | 0 | Distinct cities after folding spelling variants. See the city table. |
Cities with verified openings recorded for Big Lots in Utah. The count beside each city is its openings — not its total Big Lots locations.
| City | Verified openings | Share of Utah openings | Spellings folded |
|---|---|---|---|
| Big Lots has no opening records in Utah inside the tracked window. It operates there — the count above is a presence snapshot — but nothing opened while the window was watching. | |||
The brand's whole published footprint, largest first. Utah is highlighted in place.
| Rank | State | Locations | Share of footprint |
|---|---|---|---|
| 1 | Ohio | 114 | 11.6% |
| 2 | North Carolina | 82 | 8.4% |
| 3 | Florida | 80 | 8.2% |
| 4 | Pennsylvania | 67 | 6.8% |
| 5 | Georgia | 51 | 5.2% |
| 6 | Texas | 46 | 4.7% |
| 7 | Tennessee | 43 | 4.4% |
| 8 | New York | 42 | 4.3% |
| 9 | South Carolina | 37 | 3.8% |
| 10 | California | 35 | 3.6% |
| 11 | Kentucky | 35 | 3.6% |
| 12 | Virginia | 35 | 3.6% |
| 13 | Alabama | 30 | 3.1% |
| 14 | Michigan | 30 | 3.1% |
| 15 | Indiana | 27 | 2.8% |
| 16 | Oklahoma | 20 | 2.0% |
| 17 | Illinois | 19 | 1.9% |
| 18 | New Jersey | 18 | 1.8% |
| 19 | Maryland | 16 | 1.6% |
| 20 | Missouri | 16 | 1.6% |
| 21 | West Virginia | 16 | 1.6% |
| 22 | Arizona | 14 | 1.4% |
| 23 | Louisiana | 14 | 1.4% |
| 24 | Arkansas | 13 | 1.3% |
| 25 | Wisconsin | 10 | 1.0% |
| 26 | Colorado | 9 | 0.9% |
| 27 | Mississippi | 9 | 0.9% |
| 28 | New Mexico | 9 | 0.9% |
| 29 | Massachusetts | 8 | 0.8% |
| 30 | Washington | 8 | 0.8% |
| 31 | Connecticut | 5 | 0.5% |
| 32 | Oregon | 5 | 0.5% |
| 33 | Kansas | 4 | 0.4% |
| 34 | Maine | 4 | 0.4% |
| 35 | New Hampshire | 4 | 0.4% |
| 36 | Nevada | 3 | 0.3% |
| 37 | Utah — this page | 3 | 0.3% |
Context for the local figures above. None of it is a Utah number.
| Figure | Value | Basis |
|---|---|---|
| US locations | 1,012 | At the latest vintage, Q3 2026. |
| US locations at the window start | 1,761 | The first tracked vintage, Q4 2024. |
| Net new over the window | -749 | The difference between the two counts above. A count movement, not a count of openings. |
| Growth over the window | withheld: this brand's index coverage is still maturing — see the note under this table | Percentage change in the count between the first and latest vintages, nationwide. |
| Growth as a multiple | withheld: this brand's index coverage is still maturing — see the note under this table | The same movement stated as a multiple of the starting count. |
| Growth against its category | withheld: this brand's index coverage is still maturing — see the note under this table | The brand's percentage change minus its category's, so a rising tide is subtracted out. |
| Mean quarterly change | -30 | Average count movement per vintage step. The default ranking key on the hub. |
| Verified openings in the window | 7 | Individually dated location records new to the index inside the window, nationwide. |
| Openings pace, latest step | 0 | Verified openings per 91 days over the most recent vintage step. |
| Openings pace, prior step | 0 | The same measure one step earlier. |
| Direction | steady | Accelerating, steady or slowing, decided on the two paces at the precision they are printed. |
| Latest pace as a share of the base | a single quarter's share has nothing to be read against, so it prints only alongside the prior quarter's | The latest pace over the store count at that step's start vintage. |
| Prior pace as a share of the base | withheld with the prior step, above | The same measure one step earlier. |
| Reported openings pace, latest | 0 | The server's own pre-aggregated pace. Shown because the page ranks on the series-derived figure above and the two must agree. |
| Reported openings pace, prior | 0 | The same, one step earlier. |
| Largest single step's share of the change | — | One release carrying most of the movement is the signature of a data-coverage artifact rather than of openings. |
| Steps that moved the same direction | 0% | A real buildout moves one way most quarters. This and the row above are the credibility filter. |
| Passes the credibility filter | no | Largest step at or under half the movement, most steps in one direction, and net new above zero. |
| Cleared to print a percentage | no | Whether the index's coverage of this brand is mature enough for a rate to mean anything. |
| Openings corroborated by coverage | — | Share of the openings that agree with the count series over the same step. |
| Records matching the brand's own website | 99% | Share of index records whose website resolves to this domain. |
| Records sharing an address with another operator | 36% | High values mean host locations, sibling banners or shared kitchens rather than the chain's own leases. |
| Entity class | chain | Anything other than a chain is not published as a brand page in this state tier. |
| Category | Retail > Discount Store | The index's own category path for this brand. |
| Segment | Discount & Value | The published grouping the category rolls up to. |
| Match name in the index | big lots | The string the location index matches records against. Rarely the display name. |
| Display name | Big Lots | As published. Some domains carry a read-time repair where the index's most frequent name is a department's. |
| Domain | biglots.com | The key every table on this tier is joined on. |
| Tracked window | 8 vintages, Q4 2024 to Q3 2026 | How many quarterly releases this brand has been measured across. |
| Vintage stamps | 2024-11-19|2024-12-03|2025-03-06|2025-06-10|2025-09-09|2025-12-16|2026-03-18|2026-07-09 | Every release these figures were built from, oldest first, pipe-separated. It is a LIST of dates rather than one date, which is why nothing on this page prints it as a timestamp. |
The national count series behind the figures above. Both readings of it — the raw count and the indexed one — are columns here.
| Quarter | Vintage date | US locations | Indexed | Change vs prior |
|---|---|---|---|---|
| Q4 2024 | 2024-11-19 | 1,761 | 100 | — |
| Q4 2024 | 2024-12-03 | 1,569 | 89 | -192 |
| Q1 2025 | 2025-03-06 | 1,521 | 86 | -48 |
| Q2 2025 | 2025-06-10 | 1,431 | 81 | -90 |
| Q3 2025 | 2025-09-09 | 1,384 | 79 | -47 |
| Q4 2025 | 2025-12-16 | 1,028 | 58 | -356 |
| Q1 2026 | 2026-03-18 | 1,021 | 58 | -7 |
| Q3 2026 | 2026-07-09 | 1,012 | 57 | -9 |
Each row is the difference between two consecutive releases, so there is one fewer step than there are quarters above.
| Step ends | Quarter | Openings | Step length | Pace | Batch-suspect |
|---|---|---|---|---|---|
| Dec 3, 2024 | Q4 2024 | 0 | 14 | 0 | 0% |
| Mar 6, 2025 | Q1 2025 | 0 | 93 | 0 | 0% |
| Jun 10, 2025 | Q2 2025 | 4 | 96 | +3.8 | 0% |
| Sep 9, 2025 | Q3 2025 | 0 | 91 | 0 | 0% |
| Dec 16, 2025 | Q4 2025 | 3 | 98 | +2.8 | 0% |
| Mar 18, 2026 | Q1 2026 | 0 | 92 | 0 | 0% |
| Jul 9, 2026 | Q3 2026 | 0 | 113 | 0 | 0% |
Cobroker ranks the Utah trade areas that look like the ones Big Lots already performs in — demographics, co-tenancy, traffic.
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