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Export the company table

All 200 companies of this selection, in the table's order, 12 columns.

You are looking at another view; the export holds the selection's companies with the table's columns, not this chart or table.

CSV Excel (XLSX)

The file starts with what it holds: the conditions, the order, the rows against the total, the snapshot and the link. Excel puts that on a sheet of its own, beside the field list. Only a few rows? Tick them in the table.

Field list (CSV)

To a list

Link

API

The same query through the API (key required, units per 100 rows):

POST /api/v1/query
{
  "where": {
    "all": [
      {
        "field": "kbo",
        "op": "in",
        "values": [
          "0739659741",
          "0777905752",
          "0780729838",
          "0782530672",
          "0679879730",
          "0686867787",
          "0704662636",
          "0740781377",
          "0764764925",
          "0771468912",
          "0700460655",
          "0770695187",
          "0754660493",
          "0695456445",
          "0740460980",
          "0759558597",
          "0744696714",
          "0670734907",
          "0741698919",
          "0784752071",
          "0787986230",
          "1001063160",
          "1005067874",
          "1005293449",
          "1011247863",
          "1013929716",
          "0744976628",
          "0507984446",
          "0801186940",
          "0886030761",
          "0790524264",
          "0787768870",
          "0888067563",
          "0801663329",
          "0891872735",
          "0895824791",
          "0839505603",
          "0506897452",
          "0887180113",
          "0656954076",
          "1001471451",
          "0831951479",
          "0656832926",
          "0650684512",
          "1001194804",
          "1004343839",
          "1014416397",
          "1014594660",
          "0543860588",
          "0787343555",
          "0832272668",
          "0847357653",
          "1006210197",
          "0676448997",
          "0738896609",
          "0736533272",
          "0673784962",
          "0740765838",
          "0669567244",
          "0751869368",
          "0749864933",
          "0668803617",
          "0734839336",
          "0687900046",
          "0672480016",
          "0672888208",
          "0746855359",
          "0679464115",
          "0674935205",
          "0720811354",
          "0673859493",
          "0764969813",
          "0695856422",
          "0752560543",
          "0700923978",
          "0704624826",
          "0758910776",
          "0766821226",
          "0690700277",
          "0765896459",
          "0729625783",
          "0738407055",
          "0726832975",
          "0717672910",
          "0673913141",
          "0665941919",
          "0758504663",
          "0740588367",
          "0674533248",
          "0729844628",
          "0748545535",
          "0768264942",
          "0766562195",
          "0688627150",
          "0772359530",
          "0771286788",
          "0695478716",
          "0672521289",
          "0737434382",
          "0719851450",
          "0727711915",
          "0732877362",
          "0713581686",
          "0668408291",
          "0734649294",
          "0675722586",
          "0715966601",
          "0688633781",
          "0764898151",
          "0731891526",
          "0769775469",
          "0696875219",
          "0767675816",
          "0740467811",
          "0720799773",
          "0690809353",
          "0667772348",
          "0715987979",
          "0680681167",
          "0750631926",
          "0743620509",
          "0761378833",
          "0764465017",
          "0768592267",
          "0772697050",
          "0679965545",
          "0682992341",
          "0686941231",
          "0693735684",
          "0700719288",
          "0703881785",
          "0704975115",
          "0715611461",
          "0728874232",
          "1018199397",
          "1020529872",
          "1020545413",
          "1022811748",
          "1024166184",
          "1029589276",
          "1029893045",
          "1032827987",
          "1035849736",
          "0795744745",
          "0866759435",
          "0474897152",
          "0877220983",
          "0441718006",
          "0464212405",
          "0473138878",
          "0476093321",
          "0479879190",
          "0458869980",
          "0451037231",
          "0475774211",
          "0437896503",
          "0428551047",
          "0870158987",
          "0478305317",
          "0874906643",
          "0864720455",
          "0425490401",
          "0475402938",
          "0472084548",
          "0460662205",
          "0431186972",
          "0457648176",
          "0471445437",
          "0423124886",
          "0426447929",
          "0475969595",
          "0422113019",
          "0424825158",
          "0436418638",
          "0441872810",
          "0453849934",
          "0475759759",
          "0476494088",
          "0867612144",
          "0873033949",
          "1024340190",
          "1034783231",
          "1038215348",
          "1041074274",
          "1007865533",
          "0799530418",
          "0799371159",
          "0824829107",
          "0797011485",
          "0895301288",
          "0656575677",
          "0804063583",
          "0785725338",
          "0802534646",
          "0817811750",
          "1010860061",
          "0792476835",
          "0895100954",
          "0783966767",
          "0831050963"
        ]
      }
    ]
  },
  "columns": [
    "nace",
    "province",
    "municipality",
    "age",
    "turnover",
    "gross_margin",
    "net_result",
    "equity",
    "total_assets",
    "fte",
    "pd"
  ],
  "limit": 100
}
API reference
Follow this selection

Follow: companies entering or leaving this selection appear in your alerts the next morning (up to 5,000 companies).

200 companies

less than 0.01% of every enterprise · KBO, annual accounts, Gazette and registers on 9 October 2026

Most like Accelle: 200 companies out of 997 candidates, on activity, size, age and growth, all of Belgium.Refine the likeness

How one field's values spread across the selection, by sector, province and legal form.

Total assets(EUR)

148 companies with a value; drawn from the 1st to the 99th percentile. 2 lower and 2 higher fall outside. 1 at zero or below do not fit a logarithmic axis.

051015€1,000€10,000€100,000€1.0m€10.0m

Summary

With a value
149
No data
51
Lowest tenth up to
€34,547
First quartile
€99,631
Median
€356,291
Third quartile
€819,375
Highest tenth from
€2.0m
Mean
€996,755
Sum
€148.5m

Total assets by sector (NACE section)

€50,000€100,000€200,000€500,000€1.0m€2.0mWholesale and retail trade (149)

Box: first to third quartile, stroke: median, line: 10th to 90th percentile. Groups with at least 5 values, at most the 14 largest.

By sector

By province

By legal form

Snapshot of 9 October 2026: every enterprise Checked knows, active and stopped, legal persons and sole traders, with their filed accounts, acts, court publications and the registers Checked reads. For a sole trader (a natural person) the municipality and postcode are in it, never the street and number. Every field, its source and its coverage are in the field list.

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