Turnover and volume of sales in wholesale and retail trade - quarterly data - sts_setu_q

Data - Eurostat

Info

Last observation: Quarterly: 2026Q1 (N = 6,054)

First observation: Quarterly: 1994Q1 (N = 69)

Last data update: 23 jul 2026, 23:06. Last compile: 24 jul 2026, 03:57

Structure

freq

indic_bt

nace_r2

s_adj

unit

geo

France: Turnover by Sector

sts_setu_q %>%
  filter(geo == "FR",
         nace_r2 %in% c("H", "I", "J"),
         indic_bt == "NETTUR",
         unit == "I15",
         s_adj == "SCA") %>%
  quarter_to_date %>%

  ggplot + geom_line(aes(x = date, y = values, color = Nace_r2)) +
  theme_minimal() +
  scale_x_date(breaks = as.Date(paste0(seq(1995, 2100, 2), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = "right") +
  xlab("") + ylab("Turnover Index (2015=100)")

Latest Quarter by Country

latest_q <- sts_setu_q %>%
  filter(nace_r2 == "G-N_STS",
         indic_bt == "NETTUR",
         unit == "I15",
         s_adj == "SCA",
         !is.na(values)) %>%
  summarise(m = max(time)) %>%
  pull(m)

sts_setu_q %>%
  filter(nace_r2 == "G-N_STS",
         indic_bt == "NETTUR",
         unit == "I15",
         s_adj == "SCA",
         time == latest_q) %>%
  mutate(values = round(values, 1)) %>%
  select(Geo, values) %>%
  arrange(-values) %>%
  print_table_conditional()

Geo	values
Türkiye	1598.2
Spain	148.4
Portugal	138.5
Ireland	NA

Industrial Production

France, Germany, Italy

All

sts_setu_q %>%
  filter(nace_r2 == "G-N_STS",
         unit == "I15",
         indic_bt == "NETTUR",
         geo %in% c("FR", "DE", "IT"),
         s_adj == "SCA") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%

  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  quarter_to_date %>%
  ggplot() + ylab("Turnover Index (Services, 2015=100)") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  add_3flags + 
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 10))

2010-

sts_setu_q %>%
  filter(nace_r2 == "G-N_STS",
         unit == "I15",
         indic_bt == "NETTUR",
         geo %in% c("FR", "DE", "IT"),
         s_adj == "SCA") %>%
  select(geo, Geo, time, values) %>%
  group_by(geo) %>%

  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  quarter_to_date %>%
  filter(date >= as.Date("2010-01-01")) %>%
  ggplot() + ylab("Turnover Index (Services, 2015=100)") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Geo)) +
  scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
  scale_x_date(breaks = seq(1920, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  add_3flags + 
  theme(legend.position = "none") +
  scale_y_log10(breaks = seq(-60, 300, 10))