Stockland

ISIN AU000000SGP0

WKN 887471

Overview

Quote

GBP 2.47

02/04/2025 (gettex)

+0.03|+1.23%

daily change

52 weeks low/high

2.20

2.78

Description

Stockland engages in the business of real estate. It operates through the following segments: Commercial Property, Communities, and Other. The Commercial Property segment invests in, develops and manages retail town centres, workplace and logistics properties. The Communities segment manages a range of Master planned Communities, Land Lease Communities, and Apartments. The Other segment includes strategic investments and other items which are not able to be classified within any of the other defined segments. The company was founded by Ervin Graf in 1952 and is headquartered in Sydney, Australia.

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Finance Real Estate Real Estate Investment Trusts (REITs) Australia

Chart

01/04/2024 - 01/04/2025

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Financials

Key metrics

Market capitalisation, EUR	6,783.64 m
EPS, EUR	-
P/B ratio	1.17
P/E ratio	26.05
Dividend yield	5.02%

Income statement (2024)

Revenue, EUR	1,812.67 m
Net income, EUR	184.97 m
Profit margin	10.20%

What ETF is Stockland in?

There are 187 ETFs which contain Stockland. All of these ETFs are listed in the table below. The ETF with the largest weighting of Stockland is the iShares Asia Property Yield UCITS ETF USD (Acc).

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ETF	Weight	Investment focus	Holdings	TER	Fund size (in m EUR)	Return 1Y	ISIN
iShares Asia Property Yield UCITS ETF USD (Acc)	2.62%	Real Estate Asia Pacific	128	0.59%	189	-1.38%	IE00BGDPWV87
iShares Asia Property Yield UCITS ETF	2.62%	Real Estate Asia Pacific	128	0.59%	210	-1.48%	IE00B1FZS244
L&G Asia Pacific ex Japan ESG Exclusions Paris Aligned UCITS ETF USD Accumulating ETF	1.45%	Equity Asia Pacific Social/Environmental Climate Change	113	0.16%	4	+7.67%	IE000Z9UVQ99
UBS ETF (IE) MSCI Australia ESG Universal Low Carbon Select UCITS ETF (AUD) A-acc	1.21%	Equity Australia Social/Environmental Climate Change	46	0.43%	150	-2.29%	IE000XN05VU8
BNP Paribas Easy ECPI Global ESG Infrastructure UCITS ETF EUR Capitalisation	1.03%	Equity World Infrastructure Social/Environmental	100	0.31%	254	+9.53%	IE000FF2EBQ8
BNP Paribas Easy ECPI Global ESG Infrastructure UCITS ETF USD Capitalisation	1.03%	Equity World Infrastructure Social/Environmental	100	0.31%	1	+8.81%	IE0006O3TTP9
UBS ETF (IE) FTSE EPRA Nareit Developed Green UCITS ETF (USA) A-dis	0.86%	Real Estate World	321	0.25%	166	-	IE000H3AH951
UBS ETF (IE) MSCI Pacific (ex Japan) IMI Socially Responsible UCITS ETF (USD) A-acc	0.77%	Equity Asia Pacific Social/Environmental	131	0.19%	10	+6.00%	IE000BKMMHF9
UBS ETF (IE) MSCI Pacific (ex Japan) IMI Socially Responsible UCITS ETF (hedged to EUR) A-acc	0.77%	Equity Asia Pacific Social/Environmental	131	0.22%	1	+6.42%	IE000BAF6X29
UBS ETF (IE) MSCI Australia UCITS ETF (hedged to CHF) A-acc	0.64%	Equity Australia	54	0.43%	33	+1.02%	IE00BX7RS779

Showing 1 to 10 of 187 entries

1 2 3 4 5…19

Performance

Returns overview

YTD	+1.24%
1 month	-3.56%
3 months	+1.24%
6 months	-10.95%
1 year	-1.21%
3 years	+2.52%
5 years	+90.63%
Since inception (MAX)	+7.96%
2024	+0.84%
2023	+14.90%
2022	-12.24%
2021	-4.05%

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).