Sunbelt Rentals
U.S. · 1,293 locations
Sunbelt Rentals is the second-largest equipment rental company in the United States, operating 1,293 branch locations that serve construction contractors, industrial facilities, and special events with heavy equipment, aerial work platforms, and power generation.
More about this list
This dataset is used by construction market analysts, equipment manufacturers evaluating rental channel distribution, industrial suppliers mapping service coverage, and competitive intelligence teams benchmarking rental market share. Each record includes the branch name, full address, phone number, and GPS coordinates sourced from Sunbelt Rentals' official branch locator system. Refreshed weekly to track network changes.
The file has all 1,293 locations across 50 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 | branch id | fax | specialties | geo precision | county | county fips | county note | address quality | zip4 | country | latitude | longitude | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PALMER AK PC1439 | 1111 GLENN HWY | Palmer | AK | 99645 | (907) 746-1144 | 1439 | pcm1439@sunbeltrentals.com | General Equipment & Tools | source | Matanuska-Susitna Borough | 02170 | complete | US | 61.59546 | -149.12172 | |||
| HILO HI PC1159 | 456 KALANIANAOLE ST | Hilo | HI | 96720 | (808) 969-1478 | 1159 | pcm1159@sunbeltrentals.com | (808) 961-0423 | General Equipment & Tools | source | Hawaii County | 15001 | complete | US | 19.725034 | -155.05774 | ||
| AUGUSTA ME PC1478 | 59 LEIGHTON RD | Augusta | ME | 04330 | (207) 480-6323 | 1478 | pcm1478@sunbeltrentals.com | General Equipment & Tools | source | Kennebec County | 23011 | complete | US | 44.324154 | -69.816947 | |||
| CAPE MAY NJ PC1445 | 706 ROUTE 9 S | Cape May Court House | NJ | 08210 | (609) 465-7368 | 1445 | Kerri.Musto@sunbeltrentals.com | General Equipment & Tools | source | Cape May County | 34009 | complete | US | 39.069849 | -74.83009 | |||
| SIOUX FALLS SD PC317 | 27134 S PARKLANE DR | Sioux Falls | SD | 57106 | (605) 221-0322 | 317 | pcm317@sunbeltrentals.com | (605) 221-0323 | General Equipment & Tools | source | Lincoln County | 46083 | ZIP 57106 spans 2 counties; assigned to the county holding 33% of its land area | complete | US | 43.456165 | -96.798763 |
{}What's in each row
| Field | What it is | Rows filled |
|---|---|---|
| name | Store name and number | 100% |
| branch | Branch id | 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% |
| 100% | ||
| fax | Fax | 63% |
| latitude | GPS latitude coordinate | 100% |
| longitude | GPS longitude coordinate | 100% |
| specialties | Specialties | 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% |
| county_ | How the county was found, where it was not given by the source | 22% |
| address_ | Whether the street address is complete, missing a house number, or a PO box | 100% |
Rows filled is measured on every row of the delivered file.
✓Where this data comes from
This dataset is compiled from Sunbelt Rentals's own public branch locator, the system behind the “find a branch” page on their website.
October 11, 2026
File built · Rebuilt weekly on an automatic schedule.
19 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 Sunbelt Rentals Locations and give it this page: it can open https://locationlists.com/find?dataset=sunbelt-rentals-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=sunbelt-rentals-stores&state=TX
- Within 25 miles of Dallas, TX, the busiest area: https://locationlists.com/find?dataset=sunbelt-rentals-stores&near=Dallas+TX&radius=25
- Within a 30-minute drive of Dallas, TX: https://locationlists.com/find?dataset=sunbelt-rentals-stores&near=Dallas+TX&drive=30
- Every Industrial Supply & Rental list combined, within 25 miles of Burnt Mills, MD: https://locationlists.com/find?category=industrial-supply-rental&near=Burnt+Mills+MD&radius=25
- Each one's nearest United Rentals Locations, in Texas, with miles: https://locationlists.com/find?dataset=sunbelt-rentals-stores&state=TX&relate=nearest&k=1&b.dataset=united-rentals-stores&b.state=TX
- The whole list: add a city, state, ZIP code or distance:
https://locationlists.com/find?dataset=sunbelt-rentals-stores - In plain words: "Sunbelt Rentals Locations in Texas": https://locationlists.com/find?q=Sunbelt+Rentals+Locations+in+Texas
- In plain words: "Sunbelt Rentals Locations within 25 miles of Dallas, TX": https://locationlists.com/find?q=Sunbelt+Rentals+Locations+within+25+miles+of+Dallas%2C+TX
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 Sunbelt Rentals Locations list.Your assistant will walk you through setup and show you the price before you pay.
For developers
At 1,293 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=sunbelt-rentals-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
What fields are included in the Sunbelt Rentals branch CSV?
Each row includes branch name, street address, city, state, ZIP code, phone number, GPS latitude/longitude, branch page URL, and country code. Delivered as a standard CSV file compatible with any CRM, GIS tool, or spreadsheet.
How current is the Sunbelt Rentals branch data?
File built on October 11, 2026. Rebuilt weekly on an automatic schedule. The date on this page is the date of the file you would download.
We make temporary power generation equipment and want to partner with Sunbelt Rentals. How do we use this data?
Sunbelt's 1,293 branches represent massive rental fleet volume across the US. Mapping their network against your existing dealer or distribution footprint shows where you already have logistics alignment and where new partnerships could extend your reach. The dataset gives you every branch location for geographic modeling. Our team can also identify which Sunbelt branches are in markets with the highest demand for temporary power — data centers, industrial corridors, and hurricane-prone regions.
How does Sunbelt Rentals' network overlap with United Rentals in major construction markets?
Sunbelt (1,293 branches) and United Rentals (1,401 branches) are the two national rental giants, and they overlap heavily in major construction metros. But the interesting story is where they don't — each has exclusive branches in certain secondary markets and specialized industrial zones. Our overlap analysis cross-references both networks to show shared markets, exclusive coverage, and competitive density by metro. That analysis is essential for equipment manufacturers deciding which rental partner gives better reach.
We manage a portfolio of industrial real estate near several Sunbelt Rentals branches. Does proximity to rental hubs affect property value?
Equipment rental branches are strong indicators of active construction and industrial zones — tenants in nearby industrial properties benefit from fast equipment access. The 1,266 Sunbelt branch coordinates let you quantify how many branches are within a defined radius of each property in your portfolio. Our team can extend this into a full amenity proximity analysis combining rental branches, logistics hubs, and labor pools to score each property's operational convenience for industrial tenants.
We're a regional equipment rental company looking at where the national chains have gaps. Can this data help us find expansion opportunities?
Combine Sunbelt's 1,293 branches with United Rentals' 1,364 and overlay them against construction spending data. The gaps — metros with strong construction activity but limited national rental presence — are your expansion targets. Our next-best-location analysis can rank those underserved markets by construction volume, population growth, and infrastructure project pipelines, giving you a data-driven expansion roadmap for competing against the national chains.