Grand City Properties SA

ISIN LU0775917882

WKN A1JXCV

Market cap (in EUR)

1,647 m

Country

Luxembourg

Sector

Finance

Dividend yield

0.00%

Overview

Quote

Beschrijving

Grand City Properties SA engages in the business of developing residential real estate and investing in value-add opportunities in densely populated areas. The company was founded on December 16, 2011 and is headquartered in Luxembourg.

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Finance Real Estate Real Estate Investment and Services Luxembourg

Grafiek

Financiële kerngegevens

Kerncijfers

Marktkapitalisatie, EUR	1,647 m
WPA, EUR	2.67
KBV	0.4
K/W	3.5
Dividendrendement	0.00%

Income statement (2025)

Omzet, EUR	601 m
Netto-inkomen, EUR	470 m
Winstmarge	78.22%

What ETF is Grand City Properties SA in?

There are 7 ETFs which contain Grand City Properties SA. All of these ETFs are listed in the table below. The ETF with the largest weighting of Grand City Properties SA is the iShares European Property Yield UCITS ETF.

ETF	Weging	Investeringsfocus	Fondsgrootte (in m EUR)
Amundi FTSE EPRA NAREIT Global UCITS ETF Dist	0.04%	Real Estate World	58
Vanguard ESG Developed Europe All Cap UCITS ETF (EUR) Distributing	0.01%	Equity Europe Social/Environmental	34
Vanguard Germany All Cap UCITS ETF (EUR) Distributing	0.04%	Equity Germany	260
Vanguard ESG Global All Cap UCITS ETF (USD) Distributing	0.00%	Equity World Social/Environmental	511
iShares Developed Markets Property Yield UCITS ETF	0.05%	Real Estate World	1,032
iShares European Property Yield UCITS ETF	0.47%	Real Estate Europe	907
Amundi MSCI EMU Small Cap ESG Broad Transition UCITS ETF Dist	0.22%	Equity Europe Small Cap Climate Change	408

Prestaties

Rendementsoverzicht

YTD	-4,78%
1 maand	-2,29%
3 maanden	-3,10%
6 maanden	-14,27%
1 jaar	-12,67%
3 jaar	+27,83%
5 jaar	-57,75%
Since inception	-50,16%
2025	-16,11%
2024	+15,68%
2023	+10,22%
2022	-56,15%

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).