Tectona Ltd (TECT) Fair Value & Analysis
Technology · Il · Market cap 53.1M ILA
Fair value as of: Jun 24, 2026
Analysis
Tectona Ltd (TECT) currently trades at 1.45 ILA, while our model-based Fair Value estimate is 1.76 ILA — implying the stock looks roughly 21.1% undervalued today. We read business quality at 94/100 (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
Tectona Ltd engages in the digital asset, cryptographic currencies, and blockchain technology businesses. The company operates through four segments: Fintech Services, Horizon, Mirrorly, and Investments and Trading in Cryptographic Assets. It offers financial services required to conduct transactions in cryptographic assets to institutional, qualified, and private clients; conversion services, custody, buying and selling of cryptocurrencies, and other services in the field of cryptocurrencies; other trading products; and active management of cryptographic assets, investments in various projects, ventures in the field of blockchain and cryptographic assets, and investments in cryptographic assets. The company also operates Mirrorly platform, which allows users to automatically copy trades and trading strategies of professional traders for the purpose of managing them in cryptocurrency trading arenas. The company was formerly known as WhiteSmoke Software Ltd and changed its name to Te…
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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.