Rafarma Pharmaceuticals, Inc (RAFA) Fair Value & Analysis
Healthcare · US · Market cap $4.1M
Fair value as of: Jun 26, 2026
Analysis
Rafarma Pharmaceuticals, Inc (RAFA) currently trades at $0.0350, while our model-based Fair Value estimate is $0.0543 — implying the stock looks roughly 55.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: high) — always confirm before acting.
About the company
Rafarma Pharmaceuticals, Inc., a multi-product pharmaceutical company, produces and sells drugs, generic antibiotics, and specialty pharmaceuticals in Russia. It offers cephalosporin-based products, antibiotics of non-ß structure, and anti-cancer drugs in the form of injections, ampulla packaged products, child suspensions, tablets, and capsules. The company also provides drugs for accidental wounds, inflammatory eye diseases, and immunological disorders. The company has a collaboration agreement with PlantEXT Ltd. to research and manufacture the first medical cannabis suppositories for patients suffering from inflammatory bowel disease. Rafarma Pharmaceuticals, Inc. was formerly known as Johnston Acquisition Corp. and changed its name to Rafarma Pharmaceuticals, Inc. in October 2012. The company is based in Sandy, Utah with a manufacturing and distribution facility in Russia. As of October 19, 2020, Rafarma Pharmaceuticals, Inc. operates as a subsidiary of R. & D. Biocogency Labora…
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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.