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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)

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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

The selection in rows and columns of two fields: count, sum, median or mean.

Sector (NACE section) / RegionFlandersWallonia
Wholesale and retail trade1972
No data10

Click a cell to see the companies.

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.