SYLA Technologies Co (SYT) Fair Value & Analysis
Technology · US · Market cap $60.2M
Fair value as of: Jun 24, 2026
Analysis
SYLA Technologies Co (SYT) currently trades at $2.80, while our model-based Fair Value estimate is $5.19 — implying the stock looks roughly 85.4% undervalued today. We read business quality at 82/100 (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: medium) — always confirm before acting.
About the company
SYLA Technologies Co., Ltd., through its subsidiaries, primarily develops, constructs, sells, and manages apartments in Japan. The company engages in the land purchase, design, construction, operation, and maintenance of solar power plants. It also provides real estate leasing, management, and brokerage services, as well as real estate crowdfunding services on the Rimawari-kun platform. In addition, the company offers a system that automatically collects various real estate data online, real estate investment, machine learning algorithms, RPA, and business systems using this system. Further, it offers consulting on business automation and AI system implementation for corporations; provides consulting on real estate investment and asset management; operates and sells renewable energy-related products; and sells and maintains solar and biomass power generation equipment. Additionally, the company engages in electricity brokerage, renewable energy trading, and trade brokerage activitie…
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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.