Fabrinet

ISIN KYG3323L1005

WKN A0Q2S5

Marktkapitalisatie (in EUR)

13,449 m

Land

Cayman Islands

Sector

Technology

Dividendrendement

0.00%

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Overzicht

Koers

Beschrijving

Fabrinet engages in the provision of optical packaging and electronic manufacturing services to original equipment manufacturers. The firm's engineering services include process design, failure analysis, reliability testing, tooling design, and real-time traceability system. Its manufacturing operations offer sensors, subsystems, customized optics, and optical modules and components. The company was founded by David Thomas Mitchell on August 12, 1999 and is headquartered in George Town, Cayman Islands.

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Technology Electronic Components and Manufacturing Manufacturing Equipment and Services Cayman Islands

Grafiek

Financiële kerngegevens

Kerncijfers

Marktkapitalisatie, EUR	13,449 m
WPA, EUR	9.24
KBV	7.3
K/W	42.4
Dividendrendement	0.00%

Income statement (2025)

Omzet, EUR	3,145 m
Netto-inkomen, EUR	306 m
Winstmarge	9.72%

What ETF is Fabrinet in?

There are 3 ETFs which contain Fabrinet. All of these ETFs are listed in the table below. The ETF with the largest weighting of Fabrinet is the JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist).

ETF	Weging	Investeringsfocus	Fondsgrootte (in m EUR)
Vanguard ESG Global All Cap UCITS ETF (USD) Distributing	0.02%	Equity World Social/Environmental	489
Vanguard ESG North America All Cap UCITS ETF (USD) Distributing	0.03%	Equity North America Social/Environmental	25
JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist)	0.28%	Equity United States Small Cap	192

Prestaties

Rendementsoverzicht

YTD	+6,76%
1 maand	+4,04%
3 maanden	+6,84%
6 maanden	+49,37%
1 jaar	+100,71%
3 jaar	+248,24%
5 jaar	+484,38%
Since inception	+581,14%
2025	+89,92%
2024	+18,70%
2023	+47,16%
2022	+12,57%

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).