Firestone
U.S. · 1,444 locations
Firestone Complete Auto Care is one of the largest company-owned automotive service chains in the United States, operating 1,444 locations as a subsidiary of Bridgestone Americas — making it a corporate retail arm for the world's largest tire manufacturer rather than a franchise network.
More about this list
Bridgestone also operates Tires Plus, Hibdon Tires Plus, and Wheel Works under the same retail umbrella, meaning this dataset represents only a portion of Bridgestone's ~2,200-unit retail footprint in the U.S. The fully corporate-owned model (no franchisees) creates a uniform cost structure and centralized decision-making environment that matters enormously for vendors pitching fleet services, diagnostic equipment, or aftermarket parts distribution. This dataset is essential for automotive parts manufacturers mapping Bridgestone's retail channel, private equity firms benchmarking company-owned vs. franchised service models, and commercial real estate analysts studying co-tenancy patterns around high-traffic auto service centers.
The file has all 1,444 locations across 47 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.
Need just some of them? Ask in your own words.
●Where the rows are
≡Sample Data Preview
| name | address | city | state | zip | phone | store number | geo precision | county | county fips | address quality | county note | zip4 | country | latitude | longitude |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Firestone Complete Auto Care | 460 Green Springs Hwy | Birmingham | AL | 35209 | (205) 238-6329 | 29017 | source | Jefferson County | 01073 | complete | 4910 | US | 33.462565 | -86.819827 | |
| Firestone Complete Auto Care | 3305 Cobb Pkwy Nw | Acworth | GA | 30101 | (770) 325-9699 | 599484 | source | Cobb County | 13067 | complete | ZIP 30101 spans 4 counties; assigned to the county holding 68% of its land area | 8325 | US | 34.034401 | -84.679545 |
| Firestone Complete Auto Care | 46 Washington St | Attleboro | MA | 02703 | (508) 761-2022 | 349475 | source | Bristol County | 25005 | complete | 5531 | US | 41.929529 | -71.353079 | |
| Firestone Complete Auto Care | 941 Fort Crook Rd N | Bellevue | NE | 68005 | (402) 972-8115 | 17647 | source | Sarpy County | 31153 | complete | 4335 | US | 41.177014 | -95.926027 | |
| Firestone Complete Auto Care | 1475 Old York Rd | Abington | PA | 19001 | (215) 488-7778 | 23795 | source | Montgomery County | 42091 | complete | 1928 | US | 40.12401 | -75.115736 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| store | Store number | 100% |
| address | Street address | 100% |
| city | City name | 100% |
| state | Two-letter state code | 100% |
| zip | 5-digit ZIP code | 100% |
| country | Country code (US) | 100% |
| phone | Store phone number | 100% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| geo_ | How exact the map point is: the source's own point, the street address, or the ZIP code's centre | 100% |
| county | County the location is in | 100% |
| county_ | Five-digit federal code of that county | 100% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
| county_ | How the county was found, where it was not given by the source | 22% |
| zip4 | Zip4 | 98% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Firestone's own public store locator, the system behind the “find a store” page on their website.
September 20, 2026
File built
16 fields
Columns in the file
Fill measured
On every row of the delivered file
How we build and date every file: methodology.
Using ChatGPT, Claude or an API?
No setup needed. Ask ChatGPT or Claude your question about the Firestone Locations and give it this page: it can open https://locationlists.com/find?dataset=firestone-stores with the filters you need and show you the count and price.
Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.
How assistants ask
No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.
If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.
Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>
Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>
Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.
Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:
- Only Texas, the state with the most: https://locationlists.com/find?dataset=firestone-stores&state=TX
- Within 25 miles of Chicago, IL, the busiest area: https://locationlists.com/find?dataset=firestone-stores&near=Chicago+IL&radius=25
- Within a 30-minute drive of Chicago, IL: https://locationlists.com/find?dataset=firestone-stores&near=Chicago+IL&drive=30
- Every Auto Parts & Service list combined, within 25 miles of Glendale Heights, IL: https://locationlists.com/find?category=auto-parts-service&near=Glendale+Heights+IL&radius=25
- Each one's nearest Discount Tire Locations, in Texas, with miles: https://locationlists.com/find?dataset=firestone-stores&state=TX&relate=nearest&k=1&b.dataset=discount-tire-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=firestone-stores - In plain words: "Firestone Locations in Texas": https://locationlists.com/find?q=Firestone+Locations+in+Texas
- In plain words: "Firestone Locations within 25 miles of Chicago, IL": https://locationlists.com/find?q=Firestone+Locations+within+25+miles+of+Chicago%2C+IL
Optional: connect for repeat use or wallet payments:
Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Firestone Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,444 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=firestone-stores. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works
?Frequently Asked Questions
Firestone is company-owned, not franchised — how does that affect how I use this data for vendor sales targeting?
Because all 1,444 Firestone Complete Auto Care locations are corporately owned by Bridgestone Americas, purchasing decisions for equipment, parts, and shop supplies are heavily centralized. This dataset is most useful for identifying geographic coverage and density to support a national account pitch to Bridgestone's procurement team, rather than store-by-store selling. However, individual store managers often influence local service menu adoption and accessory stocking, so territory-level density analysis still matters for field reps.
How does Firestone's 1,444-location footprint compare to competitors like Midas, Pep Boys, or Jiffy Lube, and can I get those datasets too?
Firestone's 1,444 company-owned locations significantly outnumber Pep Boys (~1,000 locations, also now under centralized ownership via Icahn Automotive) and Midas (~1,100, mostly franchised). Jiffy Lube operates roughly 2,000 franchise units but focuses on quick-lube rather than full-service repair, making them a different competitive segment. If you need overlap or white-space analysis between Firestone and any of these competitors, LocationLists offers custom multi-brand overlap reports — contact us for a scoping call.
I sell diagnostic equipment to independent auto shops and want to understand where Firestone creates competitive pressure. Can this data help?
Absolutely. By mapping Firestone's 1,444 locations against your prospect list of independent shops, you can identify independents operating within a 2-3 mile radius of a Firestone — shops that face direct competitive pressure and may be more receptive to upgrading equipment to differentiate on diagnostic capability. LocationLists can run a custom proximity analysis against your prospect file if you want this delivered ready to use.
Does this dataset distinguish between legacy Firestone locations and stores converted from other Bridgestone banners like Tires Plus?
The dataset captures current Firestone Complete Auto Care branding and includes unique store numbers, but it does not flag historical banner changes. The wide variation in store number ranges (e.g., 3522 vs. 29017) can hint at different acquisition or build-out waves, but definitive banner-conversion history would require supplemental research. If tracing Bridgestone's full multi-banner retail footprint is critical, we can scope a combined dataset across Firestone, Tires Plus, Hibdon, and Wheel Works.
I'm a commercial real estate broker looking at pad sites near Firestone locations. What co-tenancy patterns should I expect?
Firestone Complete Auto Care locations heavily cluster along suburban arterial corridors near big-box retail power centers — you'll frequently find them within a quarter-mile of grocery-anchored strip centers, AutoZone or O'Reilly stores, and quick-service restaurants. The latitude/longitude coordinates in this dataset allow precise co-tenancy mapping against other LocationLists datasets like Target (2,034+ locations) or CVS Pharmacy to quantify these patterns at scale.
Can I use the store numbers in this dataset to match against Bridgestone's wholesale or warranty systems?
The store numbers included are Bridgestone's internal retail identifiers and can serve as a join key if you have access to Bridgestone warranty claim data, tire registration records, or retail performance benchmarks from industry sources like Modern Tire Dealer. This makes the dataset especially useful for aftermarket analysts who need to geo-enrich internal Bridgestone data with precise coordinates and normalized addresses.