Verbio SE

ISIN DE000A0JL9W6

WKN A0JL9W

Market cap (in EUR)

1,244 m

Country

Germany

Sector

Non-Energy Materials

Dividend yield

1.02%

Overview

Quote

Description

Verbio SE engages in the production and distribution of fuels and finished products manufactured using organic raw materials. It operates through the following segments: Biodiesel, Bioethanol, and Other. The Biodiesel segment manufactures biodiesel and its by-products mainly from rapeseed oil. The Bioethanol segment produces bioethanol from grains unsuitable for food production and animal feed. The Other segment includes transportation and logistics services. The company was founded by Claus Sauter in 2006 and is headquartered in Leipzig, Germany.

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Non-Energy Materials Chemical, Plastic and Rubber Materials Commodity Chemicals Germany

Chart

Financials

Key metrics

Market capitalisation, EUR	1,244 m
EPS, EUR	-1.87
P/B ratio	1.7
P/E ratio	35.4
Dividend yield	1.02%

Income statement (2025)

Revenue, EUR	1,580 m
Net income, EUR	-138 m
Profit margin	-8.74%

What ETF is Verbio SE in?

There are 4 ETFs which contain Verbio SE. All of these ETFs are listed in the table below. The ETF with the largest weighting of Verbio SE is the Amundi MSCI EMU Small Cap ESG Broad Transition UCITS ETF Dist.

ETF	Weight	Investment focus	Fund size (in m EUR)
Vanguard ESG Developed Europe All Cap UCITS ETF (EUR) Distributing	0.00%	Equity Europe Social/Environmental	31
Vanguard Germany All Cap UCITS ETF (EUR) Distributing	0.02%	Equity Germany	259
Vanguard ESG Global All Cap UCITS ETF (USD) Distributing	0.00%	Equity World Social/Environmental	485
Amundi MSCI EMU Small Cap ESG Broad Transition UCITS ETF Dist	0.04%	Equity Europe Small Cap Climate Change	294

Performance

Returns overview

YTD	+64.62%
1 month	+21.59%
3 months	+80.59%
6 months	+65.87%
1 year	+89.52%
3 years	-68.59%
5 years	-33.54%
Since inception (MAX)	+130.42%
2024	-60.17%
2023	-51.03%
2022	-0.08%
2021	+94.88%

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).