Flowers Foods

ISIN US3434981011

WKN 632326

Market cap (in EUR)

1,945 m

Country

United States

Sector

Consumer Non-Cyclicals

Dividend yield

9.17%

Overview

Quote

Description

Flowers Foods, Inc. engages in the production and marketing of packaged bakery foods. It offers breads, buns, rolls, snack items, bagels, English muffins, and tortillas and are sold under a variety of brand names, including Nature’s Own, Dave’s Killer Bread, Wonder, Canyon Bakehouse, Tastykake, and Mrs. Freshley’s. The company was founded by William Howard Flowers, Sr. and Joseph Hampton Flowers, Jr. in 1919 and is headquartered in Thomasville, GA.

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Consumer Non-Cyclicals Food and Tobacco Production Food and Beverage Production United States

Chart

Financials

Key metrics

Market capitalisation, EUR	1,945 m
EPS, EUR	0.83
P/B ratio	1.6
P/E ratio	11.7
Dividend yield	9.17%

Income statement (2024)

Revenue, EUR	4,718 m
Net income, EUR	229 m
Profit margin	4.86%

What ETF is Flowers Foods in?

There are 3 ETFs which contain Flowers Foods. All of these ETFs are listed in the table below. The ETF with the largest weighting of Flowers Foods is the JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist).

ETF	Weight	Investment focus	Fund size (in m EUR)
Vanguard ESG Global All Cap UCITS ETF (USD) Distributing	0.00%	Equity World Social/Environmental	497
Vanguard ESG North America All Cap UCITS ETF (USD) Distributing	0.00%	Equity North America Social/Environmental	27
JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist)	0.04%	Equity United States Small Cap	185

Performance

Returns overview

YTD	-2.45%
1 month	-1.08%
3 months	-16.06%
6 months	-32.22%
1 year	-50.67%
3 years	-64.53%
5 years	-
Since inception (MAX)	-60.22%
2025	-51.77%
2024	-4.19%
2023	-25.37%
2022	+12.40%

Monthly returns in a heat map

Risk

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 returns include dividend payments (if applicable).