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Export the company table

All 146 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)

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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": [
          "0418660710",
          "0472490859",
          "0426066956",
          "0478381036",
          "0421850327",
          "0472480862",
          "0403262553",
          "0404483367",
          "0405764064",
          "0414875829",
          "0406290141",
          "0422900402",
          "0578967759",
          "0830181725",
          "0824800896",
          "0833200504",
          "0822931469",
          "0526933296",
          "0642660335",
          "0538730971",
          "0554677573",
          "0656696631",
          "0665622413",
          "0819251013",
          "0443894170",
          "0859586482",
          "0872903493",
          "0403217320",
          "0415120705",
          "0424225045",
          "0684508412",
          "0734519236",
          "0754595563",
          "0866104486",
          "0424488529",
          "0866443689",
          "0878656286",
          "0871584986",
          "0420583882",
          "0427483057",
          "0860376736",
          "0437445254",
          "0452947240",
          "0444785679",
          "0453169350",
          "0881793445",
          "0446684109",
          "0431581209",
          "0459559967",
          "0437049831",
          "0471650820",
          "0464375028",
          "0431205283",
          "0458227406",
          "0476319290",
          "0686903619",
          "0865346106",
          "0867068548",
          "0879746151",
          "0844119734",
          "0660710352",
          "0661785567",
          "0890270057",
          "0503946078",
          "0811860504",
          "0892723068",
          "0896397091",
          "0895384432",
          "0648788557",
          "0837023292",
          "0506963471",
          "0643772172",
          "0649679175",
          "0656698908",
          "0656982384",
          "0659721744",
          "0809569720",
          "0845617096",
          "0755966035",
          "0666909840",
          "0777663846",
          "0765332770",
          "0673959958",
          "0739684386",
          "0465223579",
          "0479689942",
          "0472288050",
          "0736438054",
          "0442922190",
          "0676542831",
          "0707942523",
          "0665876096",
          "0734841118",
          "0876425583",
          "1003849337",
          "0872417901",
          "0700499554",
          "0767570007",
          "0862153123",
          "0433074118",
          "0421437284",
          "0435018274",
          "0447357565",
          "0665931229",
          "0672922850",
          "0676376050",
          "0686557783",
          "0686618953",
          "0686970430",
          "0695943326",
          "0695950848",
          "0730997839",
          "0741871044",
          "0746810027",
          "0792615110",
          "0850719001",
          "0835179205",
          "0501679248",
          "0896089760",
          "0643675766",
          "0631953515",
          "0657800550",
          "0660978883",
          "0810769550",
          "0821546745",
          "0839960909",
          "0842561794",
          "0887108946",
          "0745476870",
          "0746710651",
          "1005194865",
          "0754851327",
          "0733861913",
          "0741754941",
          "0761923122",
          "0794155034",
          "0762931229",
          "0680486969",
          "0671476461",
          "0712944258",
          "0719297758",
          "0729651420",
          "0768404504",
          "0782520378",
          "0794475035",
          "1030128716"
        ]
      }
    ]
  },
  "columns": [
    "nace",
    "province",
    "municipality",
    "age",
    "turnover",
    "gross_margin",
    "net_result",
    "equity",
    "total_assets",
    "fte",
    "pd"
  ],
  "limit": 100
}
API reference
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146 companies

less than 0.01% of every enterprise · KBO, annual accounts, Gazette and registers on 10 October 2026

Most like FEDERALE VERZEKERING: 146 companies out of 146 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) / RegionFlandersBrusselsWalloniaNo data
Finance and insurance6641372

Click a cell to see the companies.

Snapshot of 10 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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