Loop Telecommunication International, Inc (3025) Fair Value & Analysis
Technology · TW · Market cap 4.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Loop Telecommunication International, Inc (3025) currently trades at 69.90 TWD, while our model-based Fair Value estimate is 44.16 TWD — implying the stock looks roughly 36.8% 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
Loop Telecommunication International, Inc. engages in the research and development, manufacture, and sale of user loop remote detection interface devices, security devices, dedicated line response devices, captioned telephones, intelligent network resource management multiplexers, and related components in Taiwan, rest of Asia, the America, Europe, and internationally. It also provides multi-service cross connect, SDH-SONET-MSTP multiplexer, TDM over IP/ethernet, PTN-MPLS-Carrier ethernet, fiber-DSL line extension, network management, wavelength division multiplexing, IIoT, information security system, loop products systems, and ethernet access and switch. In addition, the company offers technology, including synchronous digital hierarchy/synchronous optical networking; multiprotocol label switching - transport profile; carrier ethernet; TDMoE pseudowire; and time division multiplexing (TDM)-PDH access. It serves power utilities, enterprises and offices, public transportation, carri…
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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.