Compare Manhattan Associates Inc (MANH) vs Synopsys, Inc. (SNPS) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Manhattan Associates Inc vs Synopsys, Inc. — how do they compare? Manhattan Associates Inc trades at $189.98 (market cap $11.38B), while Synopsys, Inc. trades at $412.7 (market cap $78.68B). The key difference: Synopsys, Inc. is far larger — about 6.9× Manhattan Associates Inc's market cap, and Manhattan Associates Inc is trading nearer its 52-week high, Synopsys, Inc. nearer its low. Which is the better fit depends on your goals.
| MANH | SNPS | |
|---|---|---|
Market Cap | $11.38B | $78.68B |
Sector | Technology | Technology |
52-Week High | $220.19 | $625.80 |
52-Week Low | $120.88 | $372.33 |
Enterprise Value | $11.25B | $87.04B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
MANH trades at $189.98, down 2.92% on the day, but maintains a bullish technical outlook with strong moving average signals and a golden cross formation. The company reported Q2 2026 EPS of $1.39, beating estimates, with cloud revenue growth driving performance. However, high valuation ratios like a P/E of 55.93 and P/B of 72.26 suggest premium pricing. Recent news highlights an ongoing legal investigation into fiduciary duties by Rosen Law Firm, adding a layer of scrutiny.
The stock's upside is supported by analyst consensus with a $210.33 price target and 80% buy ratings, but risks include elevated valuations, potential legal overhangs, and projected net cash flow turning negative in 2026. Investors should weigh robust profitability metrics against these headwinds for balanced decision-making.
Synopsys (SNPS) trades at $411.68, down 1.04% on the day, amid a mixed technical and fundamental backdrop. The stock exhibits a bullish overall signal despite recent volatility, with strong analyst support (82.76% buy ratings) and a consensus price target of $551.00. Recent earnings beats and strategic moves like the Ansys acquisition highlight robust growth prospects in the semiconductor design software space, though high valuation multiples and significant cash flow volatility warrant caution.
The outlook for SNPS remains positive driven by AI-driven demand and recurring revenue streams, but investors face risks from elevated valuations, integration challenges from acquisitions, and semiconductor cycle sensitivity. The stock's current price near key support levels offers a potential entry point for long-term growth investors, contingent on sustained execution and market conditions.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Manhattan Associates Inc
Manhattan Associates, Inc. is a global leader in supply chain and omnichannel commerce software. The company provides a comprehensive suite of cloud-based and on-premise solutions for warehouse management (WMS), transportation management (TMS), and order management (OMS). MANH's technology helps retailers, wholesalers, and manufacturers manage inventory, optimize logistics, and unify the shopping experience across physical and digital channels.
Read more on MANH →About Synopsys, Inc.
Synopsys is a provider of electronic design automation software, intellectual property, and software integrity products. EDA software automates the chip design process, enhancing design accuracy, productivity, and complexity in a full-flow end-to-end solution. The firm's growing SI business allows customers to continuously manage and test the code base for security and quality. Synopsys' comprehensive portfolio is benefiting from a mutual convergence of semiconductor companies moving up-stack toward systems-like companies, and systems companies moving down-stack toward in-house chip design. The resulting expansion in EDA customers alongside secular digitalization of various end markets benefits EDA vendors like Synopsys.
Read more on SNPS →
