Cambium Networks Corporation (CMBM) Fair Value & Analysis
Technology · US · Market cap $11.3M
Fair value as of: Jun 25, 2026
Analysis
Cambium Networks Corporation (CMBM) currently trades at $0.3100, while our model-based Fair Value estimate is $0.8900 — implying the stock looks roughly 187.1% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Cambium Networks Corporation designs, develops, and manufactures fixed wireless, fiber broadband, and enterprise networking infrastructure solutions in North America, Europe, the Middle East, Africa, the Caribbean and Latin America, and the Asia Pacific. The company offers fixed wireless and PON/XGSPON based broadband, Wi-Fi, and local area networking (LAN) switching infrastructure; and security gateway solutions for a range of applications, such as broadband access, wireless backhaul, Internet of Things (IoT), public safety communications, and Wi-Fi access for commercial use. Its fixed wireless and fiber broadband (FWB) portfolio spans point-to-point (PTP) and point-to-multi-point (PMP) architectures over multiple standards, and frequency bands, including licensed, unlicensed, and lightly licensed spectrum, and fiber products. Its enterprise portfolio comprises a range of indoor and outdoor Wi-Fi access points, indoor and hardened copper and optical based ethernet switches, and sec…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.