A10 Networks, Inc (ATEN) Fair Value & Analysis
Technology · US · Market cap $2.3B
Analysis
A10 Networks, Inc (ATEN) currently trades at $33.85, while our model-based Fair Value estimate is $9.68 — implying the stock looks roughly 71.4% overvalued today. We read business quality at 95/100 (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: high).
About the company
A10 Networks, Inc. provides secure application and network infrastructure solutions in the United States, the rest of Americas, Japan, rest of the Asia Pacific, Europe, the Middle East, and Africa. The company offers security products, such as ThreatX, a web application protection platform; A10 Defend DDoS Detector, a network-wide anomaly detection product; A10 Defend DDoS Orchestrator, a defense, orchestration, and management product; A10 Defend DDoS Mitigator, a mitigation product with automation; A10 Defend Threat Control, an attack SaaS platform; and Defend Next-Gen WAF, an integrated application delivery and web application firewall. It also provides infrastructure products, including A10 Thunder ADC, an application delivery controller and load balancer; A10 Thunder CFW, a consolidated network security platform with stateful firewall, IPsec VPN, CGN, ADC, SSLi, and secure web gateway; A10 Thunder CGN, a NAT, IPv4 preservation and IPv6 migration product; and SSL insight in Thund…
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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.