MaxLinear, Inc. MXL

CARLSBAD, Calif., September 28, 2026--MaxLinear launches Puma™ 9, helping operators accelerate DOCSIS® 4.0 adoption while reducing costs and maximizing existing investments.

MaxLinear stock has surged over the past year, yet the valuation signals are split, with the Discounted Cash Flow (DCF) intrinsic value estimate pointing to a premium while market based multiples lean the other way. That mix leaves investors weighing a strong share price run against checks that indicate the company is not obviously cheap on broader valuation tests. MaxLinear has delivered a 449.7% return over the past year, which puts extra focus on whether recent expectations are already...

In August 2026, MaxLinear expanded its AI data center infrastructure offerings by unveiling the RackCommander rack-management portfolio, new high-speed Carmel USB‑UART console-access silicon, and advanced 16V high‑current eFuse power‑protection devices at the OCP APAC Summit in Taipei. Together with new collaborations around its Panther storage accelerator and MRAM-based architectures, these launches signal a broader push to supply the control, connectivity, and power-management silicon...

MaxLinear (MXL) has put AI data center infrastructure in focus after unveiling its RackCommander rack-management portfolio, new high-current eFuse power protection products, and a high-speed Carmel USB to UART controller for console connectivity. See our latest analysis for MaxLinear. MaxLinear’s string of AI data center product launches and new collaborations has coincided with strong positive momentum, with a 7 day share price return of 23.85% and a very large 1 year total shareholder...

CARLSBAD, Calif., August 17, 2026--MaxLinear announces upcoming financial conference participation

MaxLinear stock trades on multiples measured over a trailing year, while the infrastructure business that would justify them is only now the company's largest.

CARLSBAD, Calif., August 11, 2026--MaxLinear launches RackCommander™, a control-plane portfolio enabling connectivity, monitoring, control, and power management for AI infrastructure.