Analyst: Cadence/Mentor merger "a bad idea"
(06/17/2008 2:54 PM EDT)
URL: http://www.eetimes.com/showArticle.jhtml?articleID=208700171
SAN JOSE, Calif. — Cadence Design Systems is under pressure and may lose its top spot in the electronic design automation sector, but its proposed $1.6 billion merger with Mentor Graphics is "a really bad idea," said a veteran EDA analyst.
"You would be sticking together two companies that have little synergy, lots of overlap and enough combined debt with the deal to make it hard to keep the pace in R&D," said Gary Smith, principal of Gary Smith EDA (Santa Clara, Calif.). "This deal would be like tying a boat anchor to the two companies and potentially sinking them both," he added.
|
|
E-mail This Article |
|
Printer-Friendly Page |
Related News
- MosChip selects Cadence tools for the design of HPC Processor "AUM" for C-DAC
- Cadence Collaborates with Arm and Samsung Foundry on Delivery of 5LPE Flow for Mission-Critical Applications Using Next-Generation "Hercules" CPU
- Cadence Achieves TUV SUD's First Comprehensive "Fit for Purpose - TCL1" Certification in Support of Automotive ISO 26262 Standard
- Synopsys Extends Verification FastForward Program, Enabling Cadence Incisive and Mentor Graphics Questa Users to Adopt VCS Simulation with Fine-Grained Parallelism Technology
- Mentor's CEO on Merger Mania
Breaking News
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- RISC-V Royalty-Driven Revenue to Exceed License Revenue by 2027
- Keysom Unveils Keysom Core Explorer V1.0
Most Popular
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- Ceva, Inc. Announces First Quarter 2025 Financial Results
- Cadence Unveils Millennium M2000 Supercomputer with NVIDIA Blackwell Systems to Transform AI-Driven Silicon, Systems and Drug Design






