Kellanova

ISIN US4878361082

WKN 853265

Marktkapitalisatie (in EUR)

24,968 m

Land

United States

Sector

Consumer Non-Cyclicals

Dividendrendement

2.74%

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Overview

Quote

Description

The Kellanova (formerly Kellogg) Group produces and markets ready-to-eat cereal and convenience products, such as cereal flakes, biscuits, snacks, toast, muesli bars, fruit-flavoured snacks, frozen waffles and vegetarian meals. The products are manufactured in 20 countries and sold in over 180 countries. The cereal products are generally marketed under the Kellogg's brand and sold to food wholesalers. In supermarkets, the company also markets biscuits, crackers, crisps and other convenience products under brands such as Kellogg's, Keebler, Cheez-It, Murray, Austin and Famous Amos. The former Kellogg Company was founded in 1906 and listed in Delaware in 1922.
Source: AfU Research GmbH

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

Chart

Financials

Key metrics

Market capitalisation, EUR	24,968 m
EPS, EUR	3.31
P/B ratio	6.9
P/E ratio	22.9
Dividend yield	2.74%

Income statement (2024)

Revenue, EUR	11,786 m
Net income, EUR	1,242 m
Profit margin	10.53%

What ETF is Kellanova in?

There are 13 ETFs which contain Kellanova. All of these ETFs are listed in the table below. The ETF with the largest weighting of Kellanova is the Amundi MSCI North America ESG Broad Transition UCITS ETF Dist.

ETF	Weight	Investment focus	Fund size (in m EUR)
JPMorgan Global Research Enhanced Index Equity SRI Paris Aligned UCITS ETF USD (dist)	0.05%	Equity World Social/Environmental Climate Change	40
Vanguard LifeStrategy 80% Equity UCITS ETF (EUR) Accumulating	0.02%	Equity World Multi-Asset Strategy	941
Vanguard LifeStrategy 20% Equity UCITS ETF Distributing	0.01%	Equity World Multi-Asset Strategy	14
Amundi MSCI North America ESG Broad Transition UCITS ETF Dist	0.21%	Equity North America Social/Environmental Climate Change	35
Vanguard LifeStrategy 80% Equity UCITS ETF Distributing	0.02%	Equity World Multi-Asset Strategy	70
Vanguard LifeStrategy 60% Equity UCITS ETF Accumulating	0.01%	Equity World Multi-Asset Strategy	727
Vanguard LifeStrategy 40% Equity UCITS ETF Accumulating	0.01%	Equity World Multi-Asset Strategy	207
UBS Core MSCI World UCITS ETF hEUR acc	0.03%	Equity World	406
iShares MSCI World Screened UCITS ETF USD (Dist)	0.03%	Equity World Social/Environmental	998
Vanguard FTSE Developed World UCITS ETF Acc	0.03%	Equity World	5,020
Vanguard LifeStrategy 60% Equity UCITS ETF Distributing	0.01%	Equity World Multi-Asset Strategy	92
Vanguard LifeStrategy 40% Equity UCITS ETF Distributing	0.01%	Equity World Multi-Asset Strategy	36
Vanguard LifeStrategy 20% Equity UCITS ETF Accumulating	0.01%	Equity World Multi-Asset Strategy	93

Performance

Returns overview

YTD	-
1 month	-
3 months	-
6 months	-
1 year	-
3 years	-
5 years	-
Since inception (MAX)	-
2025	-6.89%
2024	+54.47%
2023	-24.47%
2022	+17.83%

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).