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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.

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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 current selection's figures by financial year, with each year's coverage.

Total assets per financial year, of the companies in today's selection

These are the filed figures of the companies that meet your selection today, not of those that met it in that year. The number of companies with a value differs per year (from 1 to 74), so a change in the median is not growth of the same companies.

€0€500,000€1.0m 2019202020212022202320242025

Line: median; band: first to third quartile. Years with at least 5 values.

Financial year Companies First quartile Median Third quartileSum
2026 * 2 €125,283 €132,406 €139,528€264,811
2025 * 72 €175,187 €495,828 €1.3m€106.6m
2024 74 €179,125 €464,073 €1.2m€120.7m
2023 73 €188,072 €470,387 €1.2m€86.0m
2022 71 €201,172 €469,299 €1.2m€222.8m
2021 69 €162,795 €419,296 €1.0m€215.7m
2020 62 €168,705 €397,864 €1.1m€181.6m
2019 5 €353,153 €358,701 €984,942€3.9m
2018 1 €68,523 €68,523 €68,523€68,523

* Incomplete: companies have seven months after their year end to file. The sum counts filers only; a rise can also mean more filers.

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.