Tropical Smoothie Cafe
U.S. · 1,746 locations

Tropical Smoothie Cafe is a nearly 100%-franchised QSR concept that has quietly become one of the fastest-growing chains in the U.S., surging from roughly 600 units in 2016 to the 1,746 locations captured in this dataset — a compound growth rate that outpaces both Smoothie King (~1,350 units) and the legacy Jamba brand (~500 remaining units after years of contraction).

More about this list

The brand's strategic differentiator is its full food menu of wraps, flatbreads, and bowls, which pushes average unit volumes well above pure-play smoothie competitors and gives it a lunch daypart that Smoothie King struggles to capture. Historically concentrated in the Southeast — Florida, Georgia, and the Carolinas alone likely account for over a third of these records — Tropical Smoothie has been aggressively backfilling Midwest and Mountain West markets under the ownership of BDT & MSD Partners. This dataset is essential for franchise brokers benchmarking territory saturation, CPG reps at brands like Dole or Chobani mapping distribution to health-forward QSR channels, and commercial real estate analysts modeling co-tenancy patterns against adjacent retail anchors.

1,746Locations
45States
14Data Fields
September 14, 2026File built

The file has all 1,746 locations across 45 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

Map of where the Tropical Smoothie Cafe Locations are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

tropical-smoothie-cafe-stores.csvscroll →UTF-8
nameaddresscitystatezipphoneurlgeo precisioncountycounty fipsaddress qualitycountrylatitudelongitude
Tropical Smoothie Cafe Albertville7661 US Highway 431AlbertvilleAL35950(938) 336-3350https://locations.tropicalsmoothiecafe.com/al/albertville/7661-us-highway-431sourceMarshall County01095completeUS34.278094-86.211428
Tropical Smoothie Cafe Acworth3265 Cobb Parkkway NorthAcworthGA30101(404) 470-4055https://locations.tropicalsmoothiecafe.com/ga/acworth/3265-cobb-parkkway-northsourceCobb County13067completeUS34.03386177235053-84.6771690932541
Tropical Smoothie Cafe Aberdeen3662 Churchville RoadAberdeenMD21001(443) 327-8352https://locations.tropicalsmoothiecafe.com/md/aberdeen/3662-churchville-roadsourceHarford County24025completeUS39.5301373-76.19583329999999
Tropical Smoothie Cafe Concord240 Loudon RdConcordNH03301(603) 333-2138https://locations.tropicalsmoothiecafe.com/nh/concord/240-loudon-rdsourceMerrimack County33013completeUS43.222237-71.492117
Tropical Smoothie Cafe Aiken4086 Julep Way SWAikenSC29803(803) 961-7196https://locations.tropicalsmoothiecafe.com/sc/aiken/4086-julep-way-swsourceAiken County45003completeUS33.50865-81.713025
Five sample rows; the file you buy has all 14 columns.

{}What's in each row

FieldWhat it isRows filled
nameStore name and number100%
addressStreet address100%
cityCity name100%
stateTwo-letter state code100%
zip5-digit ZIP code100%
countryCountry code (US)100%
phoneStore phone number100%
latitudeGPS latitude coordinate100%
longitudeGPS longitude coordinate100%
urlUrl100%
geo_precisionHow exact the map point is: the source's own point, the street address, or the ZIP code's centre100%
countyCounty the location is in100%
county_fipsFive-digit federal code of that county100%
address_qualityWhether the street address is complete, missing a house number, or a PO box100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

This dataset is compiled from Tropical Smoothie Cafe's own public store locator, the system behind the “find a store” page on their website.

September 14, 2026

File built

14 fields

Columns in the file

Fill measured

On every row of the delivered file

How we build and date every file: methodology.

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No setup needed. Ask ChatGPT or Claude your question about the Tropical Smoothie Cafe Locations and give it this page: it can open https://locationlists.com/find?dataset=tropical-smoothie-cafe-stores with the filters you need and show you the count and price.

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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:

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Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Tropical Smoothie Cafe Locations list.

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For developers

At 1,746 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=tropical-smoothie-cafe-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

How does Tropical Smoothie Cafe's footprint compare to Smoothie King and Jamba, and what does the gap reveal about franchise momentum?

With 1,746 units, Tropical Smoothie Cafe now leads Smoothie King (~1,350 units) and dwarfs the roughly 500 remaining Jamba locations, many of which are non-traditional (airports, universities). The divergence accelerated after 2020 as Tropical Smoothie's food-forward menu proved more resilient than pure-play smoothie models. If you need a side-by-side overlap analysis of all three brands at the ZIP or CBSA level, LocationLists offers custom overlap reports that quantify white-space opportunities market by market.

I'm a franchise development director at a competing fast-casual brand. Can this data help me identify markets where Tropical Smoothie is under-penetrated relative to population?

Absolutely. By merging these 1,746 records with Census CBSA population data, you can compute units-per-capita ratios and quickly surface metros where Tropical Smoothie is thin — those same markets are likely underserved for health-forward QSR broadly. LocationLists can deliver a pre-built white-space analysis layered with demographic filters like median household income and 18–34 population density if you'd rather skip the modeling.

What does Tropical Smoothie Cafe's geographic concentration look like, and how can I use that for site-selection work?

The brand's roots in Destin, Florida, mean the Southeast is heavily saturated — expect dense clustering in Florida, Georgia, Alabama, and the Carolinas, with thinner coverage west of the Mississippi. For a site-selection analyst, the latitude/longitude coordinates in this dataset can be loaded directly into GIS tools like Esri or Placer.ai to run drive-time polygons and model cannibalization risk between proposed and existing units.

I sell food-service packaging to QSR chains and want to prioritize Tropical Smoothie franchisees. Does this dataset help me identify multi-unit operators?

The dataset lists individual locations, not ownership entities, but you can infer multi-unit clusters by grouping records that share the same phone-number prefix or fall within tight geographic corridors — multi-unit franchisees typically operate within a single DMA. For a cleaner segmentation, LocationLists can run a custom enrichment pass that cross-references known franchisee registrations to flag single-unit vs. multi-unit operators.

Can I cross-reference Tropical Smoothie locations against Publix or Target locations already in your catalog to study co-tenancy patterns?

Yes, and this is one of the highest-value use cases. Tropical Smoothie Cafe frequently co-locates in strip centers anchored by grocery or big-box tenants. With our Publix (1,451+ records) and Target datasets both in the catalog, you can run proximity analysis at the 0.25-mile or shared-shopping-center level to quantify how often these brands cluster. LocationLists offers a turnkey co-tenancy overlap report if you need the analysis delivered ready to present.

How useful is this data for a private equity firm evaluating a QSR platform acquisition in the better-for-you segment?

Extremely. The 1,746-unit footprint gives you a real-time baseline to stress-test management's unit-count claims, validate whitespace assumptions in the CIM, and benchmark penetration against Smoothie King or other comps. Combined with our ability to pull competitor brand locations on demand, you can model market-by-market overlap, franchise density ceilings, and cannibalization scenarios — the kind of diligence work that typically requires an expensive consulting engagement.

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