Skip to content

Like FEDERALE VERZEKERING

Not saved
Export

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)

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": [
          "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
Follow this selection

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

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

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

Total assets(EUR)

78 companies with a value; drawn from the 1st to the 99th percentile. 1 lower and 1 higher fall outside.

0246€10,000€100,000€1.0m€10.0m

Summary

With a value
78
No data
68
Lowest tenth up to
€113,344
First quartile
€181,578
Median
€495,828
Third quartile
€1.7m
Highest tenth from
€2.6m
Mean
€2.8m
Sum
€221.5m

Total assets by sector (NACE section)

€200,000€500,000€1.0m€2.0mFinance and insurance (78)

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 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.

We would like to set cookies. That happens only with your consent. What we measure