Alcista
$454.74
Precio del escenario
$468.110
-11.516 (-2.46%)Al cierre
Synopsys, Inc. is engaged in providing engineering solutions from silicon to systems, enabling customers to innovate artificial intelligence (AI)-powered products. It delivers silicon design, intellectual property (IP), simulation and analysis solutions, and design services. It supplies mission-critical electronic design automation (EDA) software that engineers use to design and test integrated circuits (ICs). Its Design Automation segment includes its silicon design, verification products and services, Ansys products, system integration products and services, digital, custom and field programmable gate array integrated circuit design software, verification software and hardware products, manufacturing software products and others. Its Design IP segment's portfolio includes logic libraries, embedded memories, interface IP, security IP, and subsystems that serve companies in the semiconductor and electronics industries.
Synopsys Inc (SNPS) is a good buy right now due to its current price of $509.99, which is below the analyst price target of $640 from Deutsche Bank, suggesting a potential upside of 25.6%. Additionally, the stock has shown a strong 20-day change of +28.34%, reflecting positive momentum. However, a risk to consider is the high P/E ratio of 90.85, which indicates that the stock may be overvalued if growth expectations are not met.
Needham
$620
2026-10-12
Needham
2026-10-12
Precio objetivo
$620
Rosenblatt
$620
2026-10-02
Rosenblatt
2026-10-02
Precio objetivo
$620
Deutsche Bank
$640
2026-10-01
Deutsche Bank
2026-10-01
Precio objetivo
$640
BofA
$600
2026-10-01
BofA
2026-10-01
Precio objetivo
$600
Wells Fargo
$540
2026-10-01
Wells Fargo
2026-10-01
Precio objetivo
$540
Los precios por escenario son la última banda de previsión mensual del año en curso. Las probabilidades son pesos fijos del modelo (25 / 50 / 25), no garantías.

Analysis of Synopsys' Future Growth Potential

Synopsys Emerges as Key Nvidia AI Partner

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Analysts Boost Synopsys Price Targets After Investor Day

Synopsys Announces $1 Billion Accelerated Share Repurchase Agreement
Synopsys, Inc. is engaged in providing engineering solutions from silicon to systems, enabling customers to innovate artificial intelligence (AI)-powered products. It delivers silicon design, intellectual property (IP), simulation and analysis solutions, and design services. It supplies mission-critical electronic design automation (EDA) software that engineers use to design and test integrated circuits (ICs). Its Design Automation segment includes its silicon design, verification products and services, Ansys products, system integration products and services, digital, custom and field programmable gate array integrated circuit design software, verification software and hardware products, manufacturing software products and others. Its Design IP segment's portfolio includes logic libraries, embedded memories, interface IP, security IP, and subsystems that serve companies in the semiconductor and electronics industries. It operates in the Technology sector (SERVICES-PREPACKAGED SOFTWARE industry).
Synopsys Inc (SNPS) is a good buy right now due to its current price of $509.99, which is below the analyst price target of $640 from Deutsche Bank, suggesting a potential upside of 25.6%. Additionally, the stock has shown a strong 20-day change of +28.34%, reflecting positive momentum. However, a risk to consider is the high P/E ratio of 90.85, which indicates that the stock may be overvalued if growth expectations are not met.
9 analysts cover SNPS: 7 rate it Buy, 2 Hold and 0 Sell. The average price target is 565.64.

$SNPS The stock is currently testing overhead trendline resistance. I just shared my roadmap to possibly >$600, which would give me ~60% ROI from my pivot entries. See my thesis charts at my Substack. This post is open to all:
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$SNPS Not selling any covered calls on this move. Full steam ahead. Long SNPS.
Mostrar másEsta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.