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Businesses

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Business statistics

Tabel 1: Businesses Structure by business sector, unit and time

ESX1A_raw <- 
  statgl_url("ESX1A", lang = language) %>% 
  statgl_fetch(
    section    = px_all(),
    variable   = px_all(),
    aar        = px_top(),
    .col_code  = TRUE
  ) %>% 
  as_tibble()

ESX1A <- 
  ESX1A_raw %>% 
  mutate(
    variable = variable %>% fct_inorder(),
    section = section %>% str_remove_all(".\\.") %>% trimws(),
    section = section %>% fct_reorder(value, .fun = sum, .desc = TRUE),
    ) %>% 
  spread(variable, value)

ESX1A %>% 
  select(-aar) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESX1A[["aar"]] %>% table()) %>% 
  row_spec(1, bold = TRUE)

	Number of businesses	Average salaries and shares, in million DKK	Aggregate salaries and shares, in million DKK
2022
Total	3.914	2,01	7.853,3
Fishing and other related industries	1.999	1,05	2.102,2
Construction	246	5,59	1.376,0
Transportation and storage	203	5,21	1.057,9
Wholesale and retail trade: repair of motor vehicles	218	4,13	900,2
Administrative and support service activities	160	2,53	405,0
Professional, scientific and technical activities	204	1,44	293,4
Accommodation and food service activities	117	2,70	315,5
Information and communication	89	3,31	294,3
No information given	132	1,55	204,9
Health care and social services	91	1,87	169,8
Other services	121	0,69	84,0
Financial and insurance activities	19	9,27	176,1
Real estate activities	68	1,95	132,3
Manufacturing	73	1,65	120,3
Mining and quarrying	28	3,43	95,9
Culture, recreational and sport services	64	0,89	57,1
Education	43	1,24	53,4
Watersupply, sewage and waste	39	0,39	15,0

See the table in our Statbank: ESX1A

Accounting statistics

Tabel 2: Account statititcs investment by industry, items and time

ESXINVST_raw <- 
  statgl_url("ESXINVST", lang = language) %>%
  statgl_fetch(
    industry  = px_all(),
    items     = px_top(3),
    time      = px_top(1),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ESXINVST <- 
  ESXINVST_raw %>% 
  mutate(
    items = items %>% fct_inorder(),
    industry = industry %>% str_remove_all(".\\.") %>% trimws(),
    industry = industry %>% fct_reorder(value, .fun = sum, .desc = T)
  ) %>% 
  spread(items, value)

ESXINVST %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESXINVST[["time"]] %>% table())

	Investment, net	Investment	Disinvestment
2022
All industries	3.256.708	5.126.131	-1.869.423
All industries exc mining and quarrying	3.176.509	5.012.486	-1.835.977
Transportation and storage	1.482.215	2.132.170	-649.955
Real estate activities	1.047.058	1.241.549	-194.491
Fishing and other related industries	352.112	474.412	-122.300
Information and communication	139.897	192.225	-52.328
Professional, scientific and technical activities	134.340	160.048	-25.708
Construction	121.688	262.500	-140.812
Wholesale and retail trade: repair of motor vehicles and motorcycles	101.185	403.382	-302.197
Mining and quarrying	80.199	113.645	-33.446
Accommodation and food service activities	14.570	46.182	-31.612
Manufacturing	13.942	22.217	-8.275
Financial and insurance activities	-13.277	14.876	-28.153
Administrative and support service activities	-217.221	62.925	-280.146

See the table in our Statbank: ESXINVST

Tabel 3: Account statititcs by industry, items and time

ESXNGL_raw <- 
  statgl_url("ESXNGL", lang = language) %>%
  statgl_fetch(
    industry  = px_top(1),
    items     = px_all(),
    time      = px_top(1),
    .col_code = TRUE
  ) %>% 
  as_tibble()

ESXNGL <- 
  ESXNGL_raw %>% 
  mutate(value = value |> prettyNum(big.mark = ".", decimal.mark = ",")) |> 
  spread(industry, value) 
  

ESXNGL %>% 
  select(-time) %>% 
  rename(" " = 1) %>% 
  statgl_table() %>% 
  pack_rows(index = ESXNGL[["time"]] %>% table())

	All industries
2022
Asset turnover (ratio)	0,5
Current ratio (ratio)	1,1
Number of enterprises	973
Profit margin	6,4
Return on assets (ROA)	3,4
Return on equity (ROE)	3,8
Solvency ratio (pct.)	37,9
Value added (1,000 kr.)	9.407.953

See the table in our Statbank: ESXNGL

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Last updated: 10. november 2025