Pluri Inc (PSTI) Fair Value & Analysis
Healthcare · Il · Market cap 117M ILA
Fair value as of: Jun 24, 2026
Analysis
Pluri Inc (PSTI) currently trades at 6.00 ILA, while our model-based Fair Value estimate is 7.95 ILA — implying the stock looks roughly 32.5% undervalued today. We read business quality at 89/100 (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: low) — always confirm before acting.
About the company
Pluri Inc., a biotechnology company, focuses on the development of placenta-based cell therapy product candidates for the treatment of multiple inflammatory, muscle injuries, and hematologic conditions. The company develops placental expanded (PLX) based cell therapy products, including PLX-PAD that is in Phase III clinical trials for the muscle recovery after surgery for hip fracture; in Phase II clinical trails for the treatment of acute respiratory distress syndrome associated with COVID-19; and in Phase I/II clinical trial for treatment of steroid-refractory graft versus host disease. It also develops PLX-R18 for incomplete hematopoietic recovery following hematopoietic cell transplantation, as well as a solution for the treatment of acute radiation syndrome. The company was formerly known as Pluristem Therapeutics Inc. and changed its name to Pluri Inc. in July 2022. Pluri Inc. was incorporated in 2001 and is based in Haifa, Israel.
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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.