Flowers Foods

ISIN US3434981011

WKN 632326

Marktkapitalisatie (in EUR)

1.910 m

Land

Verenigde Staten

Sector

Niet-Cyclische Consumentenproducten

Dividendrendement

9,31%

Overzicht

Koers

Beschrijving

Flowers Foods, Inc. houdt zich bezig met de productie en marketing van verpakte bakkerijproducten. Het biedt broden, broodjes, broodjes, snackproducten, bagels, Engelse muffins en tortilla's en wordt verkocht onder verschillende merknamen, waaronder Nature's Own, Dave's Killer Bread, Wonder, Canyon Bakehouse, Tastykake en Mrs. Freshley's. Het bedrijf werd in 1919 opgericht door William Howard Flowers, Sr. en Joseph Hampton Flowers, Jr. en heeft zijn hoofdkantoor in Thomasville, GA.

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Niet-Cyclische Consumentenproducten Voedsel- en Tabaksproductie Productie van Voedsel en Dranken Verenigde Staten

Grafiek

Financiële kerngegevens

Kerncijfers

Marktkapitalisatie, EUR	1.910 m
WPA, EUR	0,83
KBV	1,6
K/W	11,5
Dividendrendement	9,31%

Winst- en verliesrekening (2024)

Omzet, EUR	4.718 m
Netto-inkomen, EUR	229 m
Winstmarge	4,86%

In welke ETF zit Flowers Foods?

Er zijn 3 ETF's die Flowers Foods bevatten. Al deze ETF's staan in de tabel hieronder. De ETF met de grootste weging van Flowers Foods is de JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist).

ETF	Weging	Investeringsfocus	Fondsgrootte (in m EUR)
Vanguard ESG Global All Cap UCITS ETF (USD) Distributing	0,00%	Aandelen Wereld Sociaal/Milieu	495
Vanguard ESG North America All Cap UCITS ETF (USD) Distributing	0,00%	Aandelen Noord-Amerika Sociaal/Milieu	27
JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist)	0,04%	Aandelen Verenigde Staten Small Cap	182

Prestaties

Rendementsoverzicht

YTD	-1,39%
1 maand	+1,09%
3 maanden	-15,14%
6 maanden	-30,97%
1 jaar	-52,20%
3 jaar	-65,23%
5 jaar	-
Since inception	-59,78%
2025	-51,77%
2024	-4,19%
2023	-25,37%
2022	+12,40%

Maandelijks rendement in een heat map

Risico

Risk metrics in this section:

Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.

ETF-rendementen zijn inclusief dividenduitkeringen (indien van toepassing).