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Solrom Holdings (SLRM) Fair Value & Analysis

Technology · Il · Market cap 334M ILS

Price8.00 ILS
Fair Value12.34 ILS
Upside+54.3%
Quality87/100
Evidence: Medium Range 5.70 ILS – 15.42 ILS

Fair value as of: Jun 24, 2026

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Analysis

Solrom Holdings (SLRM) currently trades at 8.00 ILS, while our model-based Fair Value estimate is 12.34 ILS — implying the stock looks roughly 54.3% undervalued today. We read business quality at 87/100 (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

Solrom Holdings Ltd researches and develops laser-based beam head for 3D printers in Israel. It offers 3D printers. The company was formerly known as 3DM Digital Manufacturing Ltd. and changed its name to Solrom Holdings Ltd in September 2024. Solrom Holdings Ltd was incorporated in 2016 and is based in Rosh HaAyin, Israel.

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Frequently asked questions

Is Solrom Holdings (SLRM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 12.34 ILS versus a price of 8.00 ILS — about +54% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SLRM?
Our 21-model fair value for Solrom Holdings is 12.34 ILS (as of Jun 24, 2026), built from audited fundamentals. The current price is 8.00 ILS.
What is the quality score of SLRM?
Solrom Holdings has a Quality Score of 87/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.