As of October 19, 2026, ListRiver's records show 246 trucking companies in Melbourne, Florida (motor carriers registered with a USDOT number). 100% have a phone number, 82% an email address and 94% a named contact. 34 registered as a carrier in the last 12 months.
Each record includes USDOT and MC numbers, fleet size (trucks and drivers), interstate or intrastate operation, hazmat, the date the carrier registered, and where on file, phone, email and the officer's name.
How many trucking companies are in Melbourne, Florida?
ListRiver has 246 trucking companies in Melbourne, Florida on record as of October 19, 2026. 83 of them are known from federal records only and have no state business filing.
How many have a phone number, email or contact name?
245 (100%) have a phone number, 202 (82%) an email address and 231 (94%) a named contact. The list builder can require any of them, so you pay only for records that have it.
What does each record include?
The business name, address and USDOT and MC numbers, fleet size (trucks and drivers), interstate or intrastate operation, hazmat, the date the carrier registered, and where on file, phone, email and the officer's name, plus every standard ListRiver column (see the data dictionary).
How many trucking companies are new?
34 trucking companies in Melbourne, Florida registered as a carrier in the last 12 months.
How much does a list of trucking companies cost?
$0.04 per record, with a $50 minimum order and 6 monthly refresh files included. The list builder shows the exact count and price for your filters before you buy.
Who uses these lists?
Truck insurance agencies, fuel-card and factoring companies, ELD and dispatch software, equipment dealers and freight brokers.
Built from public federal agency records and official state business registries, matched to each business by name and address and refreshed as the agencies publish updates. Phone, email and contact names are included where on file; nothing is estimated or filled in. The sample above shows only businesses registered with a state. See the methodology and the data dictionary for every column.