BPER Banca SpA

ISIN IT0000066123

WKN 897832

Market cap (in EUR)

10,798.66 m

Country

Italy

Sector

Finance

Dividend yield

3.95%

Overview

Quote

Description

BPER Banca S.p.A. engages in the provision of banking services. It operates through the following segments: Retail, Private, Corporate, Large Corporate, Finance, Corporate Center, and Other. The Retail segment refers to individuals and joint accounts not regulated by the BPERPrivate service; sole traders; and partnerships or limited companies. The Private segment deals with businesses conducted with individuals and from joint accounts regulated by the BPERPrivate service. The Corporate segment transacts with public administrations, non-financial and non-resident companies, and non-financial partnerships and companies. The Large Corporate segment also conducts business with non-financial partnerships and companies with high turnovers. The Finance segment derives its operations from treasury activities, investment portfolio management, and access to financial markets and specialist operational support for the commercial network. The Corporate Center focuses on the corporate governance of the company, strategic decisions and results, and from activities directly connected to other areas of the business. The Other segment specializes in the non-banking companies of the group. BPER Banca was founded in 1867 and is headquartered in Modena, Italy.

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Finance Banking International Banks Italy

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Financials

Key metrics

Market capitalisation, EUR	10,798.66 m
EPS, EUR	0.99
P/B ratio	0.95
P/E ratio	7.67
Dividend yield	3.95%

Income statement (2024)

Revenue, EUR	7,630.11 m
Net income, EUR	1,402.65 m
Profit margin	18.38%

What ETF is BPER Banca SpA in?

There are 222 ETFs which contain BPER Banca SpA. All of these ETFs are listed in the table below. The ETF with the largest weighting of BPER Banca SpA is the Amundi Italy MIB ESG UCITS ETF.

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ETF	Weight	Investment focus	Fund size (in m EUR)
Amundi Italy MIB ESG UCITS ETF	1.56%	Equity Italy Social/Environmental	57
Xtrackers FTSE MIB UCITS ETF 1D	1.35%	Equity Italy	57
iShares FTSE MIB UCITS ETF (Acc)	1.34%	Equity Italy	322
iShares FTSE MIB UCITS ETF EUR (Dist)	1.34%	Equity Italy	120
Amundi FTSE MIB UCITS ETF Dist	1.27%	Equity Italy	504
Amundi FTSE MIB UCITS ETF Acc	1.27%	Equity Italy	26
First Trust Eurozone AlphaDEX UCITS ETF Acc	1.17%	Equity Europe Multi-Factor Strategy	49
First Trust Eurozone AlphaDEX UCITS ETF B Dist	1.17%	Equity Europe Multi-Factor Strategy	15
iShares EURO STOXX Mid UCITS ETF	1.07%	Equity Europe Mid Cap	515
iShares EURO STOXX Banks 30-15 UCITS ETF (DE)	0.91%	Equity Europe Financials	1,277

Showing 1 to 10 of 222 entries

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Performance

Returns overview

YTD	+27.43%
1 month	+21.12%
3 months	+22.54%
6 months	+36.43%
1 year	+57.85%
3 years	+355.90%
5 years	+226.22%
Since inception (MAX)	+16.51%
2024	+104.98%
2023	+47.89%
2022	+0.53%
2021	+15.95%

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).