IG Port, Inc (IGPTF) Fair Value & Analysis
Communication Services · US · Market cap $150M
Fair value as of: Jun 24, 2026
Analysis
IG Port, Inc (IGPTF) currently trades at $7.71, while our model-based Fair Value estimate is $4.70 — implying the stock looks roughly 39.1% 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
IG Port, Inc., together with its subsidiaries, operates as an animation production company in Japan, the United States, rest of Asia, Europe, and internationally. It operates through Video Production Business, Publishing Business, Copyright Business, Product Sales Business, and Other segments. The company engages in the video production, and animation and game software work businesses for theaters, television, videos, distribution, and games; planning, licensing, supervising, and production of products featuring characters from popular works; operation of stores; and manuscript magazine illustration submission and lecture activities. It also sells some rights related to the secondary use of works in Japan and overseas; and publishes and sells comic magazines, such as magazines and periodicals, comic books, illustration collections, and other related books, as well as e-books. IG Port, Inc. was founded in 1987 and is headquartered in Musashino, Japan.
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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.