Scodix Ltd (SCDX) Fair Value & Analysis
Industrials · Il · Market cap 56.9M ILA
Fair value as of: Jun 24, 2026
Analysis
Scodix Ltd (SCDX) currently trades at 1.69 ILA, while our model-based Fair Value estimate is 0.8600 ILA — implying the stock looks roughly 49.1% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low).
About the company
Scodix Ltd. provides digital print enhancement presses for folding carton, publishing, commercial print, web 2 print, and designers and brands in North America, Europe, The Far East, Israel, and internationally. It offers Scodix Ultra series, a digital print enhancement system; Scodix Studio Station, a productivity workflow package for commercial printers, publishers, folding carton converters, finishers, and other print service providers; Scodix Studio W2P, an automatic file transfer for work; Scodix AI, an automated enhancement solution designed for enhancements during the packaging design phase; Scodix SHD (Smart High-Definition), controls the precise placement and drop size of Scodix polymer to surface areas; Scodix MLE (Multi Layer Embellishment), structured layering of the polymer by repeating rotations of the media under the print heads in a single pass; Scodix VDE for personalization and customization; Scodix PAS (Pinning Activate and Secure), sets the polymer droplets in pl…
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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.