Moving iMage Technologies, Inc (MITQ) Fair Value & Analysis
Technology · US · Market cap $5.4M
Fair value as of: Jun 25, 2026
Analysis
Moving iMage Technologies, Inc (MITQ) currently trades at $0.5700, while our model-based Fair Value estimate is $1.03 — implying the stock looks roughly 80.7% undervalued today. We read business quality at 95/100 (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
Moving iMage Technologies, Inc. designs, manufactures, integrates, installs, and distributes proprietary and custom designed equipment, and other off the shelf cinema products for cinema requirements in the United States and internationally. The company provides automation, pedestal, projection pod, and power management systems; and in-house designed, manufactured, and assembled lighting products and dimmers, as well as distributes digital cinema projectors and media servers. It also offers premium sound systems; demand-controlled ventilation systems that automatically shuts down exhaust fans; and cup holders, trays, and cups. In addition, the company provides software solutions, such as CineQC, a cinema quality control system. Further, it offers technical, design, and consulting services, such as custom engineering, audio visual integration, systems design and installation, and digital technology services, as well as software solutions for operations enhancement and theatre managem…
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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.