OPTiM Corporation (OTPMF) Fair Value & Analysis
Technology · US · Market cap $241M
Fair value as of: Jun 24, 2026
Analysis
OPTiM Corporation (OTPMF) currently trades at $4.42, while our model-based Fair Value estimate is $2.88 — implying the stock looks roughly 34.8% overvalued today. We read business quality at 94/100 (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
OPTiM Corporation provides IoT platform, remote management, support, and other services in Japan. The company offers AI services, including OPTiM artificial intelligence (AI) Camera, an image analysis service, as well as OPTiM Physical Security service. It also operates OPTiM Store, a platform to create business app marketplace; and OPTiM Cloud IoT OS, a platform which provides management services for various devices in IoT network. In addition, the company offers Optimal Biz, which allows an IT administrator to manage IT devices in an office; Optimal Biz Secure Shield; Optimal Remote, a support tool to provide support and reduce diagnostic time, as well as a maintenance tool to control terminals located in distant places; and Optimal Second Sight, a solution for live video to be shared through a smart glass, smartphone, or tablet. Further, it provides support services, which include Optimal Diagnosis and Repair, a tool to find and repair troubles on smartphones, tablets, PCs, and r…
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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.