Impact Fusion International, Inc (IFUS) Fair Value & Analysis
Communication Services · US · Market cap $22.0M
Fair value as of: Jun 26, 2026
Analysis
Impact Fusion International, Inc (IFUS) currently trades at $0.0347, while our model-based Fair Value estimate is $0.0261 — implying the stock looks roughly 24.7% 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: medium).
About the company
Impact Fusion International, Inc. engages in the business of marketing products in the health and wellness sector. The company focuses on the invention, development, and marketing of its proprietary products worldwide for the health of humans and animals. The company's products include Nutri-Mastic that supports digestive function, the immune system, vital organ health, healthy blood cells, and cardiac muscle and heart function; Intact Nutrition herbal health support products; Intact Endurance, which offers nutrients to increase body's optimal energy levels; Pet Intact nutritional supplements; and Equine Intact products. It also sells herbal health support beverages under the Mastic Blast Beverage brand; and alternative proprietary formulation for beef and dairy cattle under the Supreme Gold Plus brand. The company was formerly known as Red Reef Laboratories International, Inc. and changed its name to Impact Fusion International Inc. in April 2009. Impact Fusion International, Inc. …
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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.