ADTRAN Holdings (ADTN) Fair Value & Analysis
Technology · US · Market cap $1.2B
Analysis
ADTRAN Holdings (ADTN) currently trades at $14.47, while our model-based Fair Value estimate is $10.51 — implying the stock looks roughly 27.4% overvalued today. We read business quality at 80/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
ADTRAN Holdings, Inc. provides networking and communications platforms, software, systems, and services in the United States, Germany, the United Kingdom, and internationally. It operates through two segments, Network Solutions, and Services & Support. It offers residential gateways; ethernet passive optical network ONUs; gigabit passive optical network/XGS-PON ONTs; routers, and switches; edge cloud; carrier ethernet network interface devices; Optical Line Terminals; Packet Aggregation, Copper Access, and Oscilloquartz; optical transport and engine solutions; infrastructure monitoring solution; and training, professional, software, and managed services. The company provides various software, such as Mosaic One SaaS, n-Command, Procloud, MCP, AOE, and ACI-E. It serves large, medium, and small service providers; alternative service providers, such as utilities, municipalities and fiber overbuilders; cable/MSOs; and SMBs and distributed enterprises. ADTRAN Holdings, Inc. was incorpora…
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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.