Identi Healthcare Ltd (IDNT) Fair Value & Analysis
Healthcare · Il · Market cap 26.1M ILA
Fair value as of: Jun 24, 2026
Analysis
Identi Healthcare Ltd (IDNT) currently trades at 1.58 ILA, while our model-based Fair Value estimate is 1.92 ILA — implying the stock looks roughly 21.7% undervalued today. We read business quality at 80/100 (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
Identi Healthcare Ltd provides healthcare inventory management systems. It offers Snap & Go, an image recognition technology to record medical implants and consumables used during surgery; RFID Smart Cabinet, an automated inventory system developed to helps cath labs, neurosurgery, ophthalmology, EP labs, orthopedics, plastic surgery, gastro, and other; and Narcotics Cabinet, an automated system for the administration of controlled substances and narcotics. The company also provides Kanban & PAR solutions, including Smart Weighing Bin, a wireless and autonomous smart scale bin that re-orders its own supplies; Restock Tag, a solution that automatically replenishes inventory by clicking a button; and Scan & Restock, a mobile App to order and monitor orders. In addition, it offers IDENTIPlatform, a cloud-based platform powered by artificial intelligence and machine learning that connects suppliers to hospitals; and gas cylinder stock management and curtain disinfection and cleaning ser…
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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.