Septeni Holdings (SPIDY) Fair Value & Analysis
Communication Services · US · Market cap $442M
Fair value as of: Jun 24, 2026
Analysis
Septeni Holdings (SPIDY) currently trades at $2.13, while our model-based Fair Value estimate is $2.02 — implying the stock looks roughly 5.2% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
Septeni Holdings Co., Ltd. operates in the digital marketing business. The company operates through three segments: Marketing Communication business, Direct Business, Data Solutions, and Others Segments. The Marketing Communication business segment offers DX support services through integrated marketing services focused on digital advertising sales and operations. The Direct Business segment provides integrated client support services by executing business strategy planning, and direct response promotions and CRM in B2C and B2B areas. The Data Solutions segment offers data collection, integration, and utilization services; and develops and delivers data- and AI-driven solutions, as well as is involved in the support client development and dispatch engineering personnel activities. It also operates in the employment platform business; and provides solutions that utilize an AI matching system and support the design of recruitment and training system. Septeni Holdings Co., Ltd. was fou…
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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.