ON Semiconductor

ISIN US6821891057

WKN 930124

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Beschrijving

ON Semiconductor Corp. engages in the provision of intelligent power and sensing solutions with a primary focus on automotive and industrial markets. It operates through the following segments: Power Solutions Group (PSG), Analog and Mixed-Signal Group (AMG), and Intelligent Sensing Group (ISG). The PSG segment offers discrete, module, and integrated semiconductor products that perform multiple application functions, including power switching, signal conditioning, and circuit protection. The AMG segment designs and develops analog, mixed-signal, power management integrated circuits, sensor interface devices, power conversion, signal chain, and voltage regulation devices. The ISG focuses on the design and development of complementary metal oxide semiconductor image sensors, image signal processors, single photon detectors, including silicon photomultipliers, single photon avalanche diode arrays, and short-wavelength infrared products, as well as actuator drivers for autofocus and image stabilization. The company was founded on July 4, 1999 and is headquartered in Scottsdale, AZ.

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Technology Electronic Components and Manufacturing Semiconductor Manufacturing United States

Grafiek

15/04/2024 - 15/04/2025

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Financiële kerngegevens

Kerncijfers

Marktkapitalisatie, EUR	13,224.90 m
WPA, EUR	3.36
KBV	1.71
K/W	9.80
Dividendrendement	0.00%

Winst- en verliesrekening (2024)

Omzet, EUR	6,547.41 m
Netto-inkomen, EUR	1,454.01 m
Winstmarge	22.21%

In welke ETF zit ON Semiconductor?

Er zijn 309 ETF's die ON Semiconductor bevatten. Al deze ETF's staan in de tabel hieronder. De ETF met de grootste weging van ON Semiconductor is de First Trust Nasdaq Clean Edge Green Energy UCITS ETF Acc.

resultaten weergeven

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ETF	Weging	Investeringsfocus	Fondsgrootte (in m EUR)
First Trust Nasdaq Clean Edge Green Energy UCITS ETF Acc	6,24%	Aandelen Wereld Gebruiksgoederen Schone energie	5
Guinness Sustainable Energy UCITS ETF Accumulating	2,45%	Aandelen Wereld Sociaal/Milieu Klimaatverandering	15
HSBC Nasdaq Global Climate Tech UCITS ETF USD (Acc)	2,04%	Aandelen Wereld Sociaal/Milieu Klimaatverandering	-
Global X Autonomous & Electric Vehicles UCITS ETF USD Accumulating	1,11%	Aandelen Wereld Auto-industrie Toekomstige mobiliteit	5
Global X Autonomous & Electric Vehicles UCITS ETF USD Distributing	1,11%	Aandelen Wereld Auto-industrie Toekomstige mobiliteit	1
Rize USA Environmental Impact UCITS ETF USD Acc	1,08%	Aandelen Verenigde Staten Sociaal/Milieu Klimaatverandering	8
WisdomTree Global Sustainable Equity UCITS ETF USD Unhedged Acc	0,98%	Aandelen Wereld Sociaal/Milieu	267
Amundi US Tech 100 Equal Weight UCITS ETF DR USD D	0,91%	Aandelen Verenigde Staten Technologie Equal Weighted	30
Amundi MSCI Smart Cities UCITS ETF - Acc	0,86%	Aandelen Wereld Infrastructuur Sociaal/Milieu	55
Invesco NASDAQ-100 Equal Weight UCITS ETF Acc	0,72%	Aandelen Verenigde Staten Technologie Equal Weighted	152

1 tot 10 van 309 resultaten

1 2 3 4 5…31

Prestaties

Rendementsoverzicht

YTD	-49,22%
1 maand	-19,87%
3 maanden	-40,82%
6 maanden	-50,19%
1 jaar	-48,66%
3 jaar	-35,89%
5 jaar	+153,43%
Since inception	+253,34%
2024	-19,09%
2023	+32,63%
2022	-4,38%
2021	+136,28%

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).