Best of Trading companies distributors
The 10 Best Trading Companies & Distributors Datasets in 2026
10 Trading companies distributors picks, ranked on what's inside: field richness, coverage depth, fit for the job. GDP by Industry — Wholesale Trade leads.
- 10ranked picks
- 17documented fields on stage
- 0/6with mapped coverage
API, files, or your warehouse. Daily, weekly, or hourly.
Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.
- 1 Companies House Company Data
- 2 Short-term business statistics — Wholesale Retail Trade
- 3 Wholesale trade, sales
- 4 9/10Trading companies distributors
GDP by Industry — Wholesale Trade
Industry · TableID · Frequency …+7 more - 5 9/10Trading companies distributors
BIS CPMI Red Book Statistics – Retail Payments, Currency and FMIs
Annual observations at country × indicator × instrument × measure × unit.
- 6 9/10Trading companies distributors
Federal Reserve Payments Study – U.S. Noncash Payments Volumes and Trends
Period · Number · Value …+2 more - 7 8/10
One row per customer - 440 customers x 8 columns, no missing values.
- 8 8/10Trading companies distributors
ECB Payment Statistics – TARGET Services Monthly Settlement Traffic
- 9 7/10Trading companies distributors
WTO Stats
- 10 Wholesale Trade profile
Also worth a berth
Frequently asked questions
What is the single best trading companies & distributors dataset?
There is no single one - pick by job. For a UK distributor prospect universe, Companies House filtered to SIC 46. For European demand turning points, Eurostat's NACE G46 turnover series. For provincial Canadian sales, Statistics Canada Table 20-10-0074-01. For firm-level shipment trails, Panjiva or ImportGenius. Most teams run two or three together.
Where does monthly wholesale sales data come from?
Three official gauges. Eurostat publishes turnover and volume-of-sales indicators for EU wholesale trade (NACE G46) across 42 geographies from January 1991; Statistics Canada ships 189,118 monthly sales rows by province and six-digit NAICS 41 industry from January 1993 to June 2026; the BEA carries US value added and gross output for NAICS 42 back to 1947.
What is the UCI Wholesale Customers dataset used for?
Customer-segmentation practice and benchmarking: 440 clients of a Portuguese wholesale distributor, one year of spend across six product categories, each labelled Horeca versus Retail channel and Lisbon, Oporto or Other region. At 440 rows by 8 columns it iterates fast, and the channel-and-region labels let you compare clustering models honestly.
Do these records cover distributor payment volumes?
Three specialize in it. The Federal Reserve Payments Study estimates US noncash payment volumes and values with trends back to 2000; BIS CPMI Red Book statistics compare instruments across 27 jurisdictions in 87,711 combined rows; ECB TARGET statistics report euro-area settlement traffic monthly from 1999, with daily averages by segment and currency.
How do I evaluate which record fits my pipeline?
Request samples cut to your scope: your provinces or member states, your NAICS or NACE divisions, your years. Compare field dictionaries and coverage statements side by side rather than screenshots, then test join keys against your own entity lists. Datadory cuts scoped samples before anything recurring starts.