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XP Chemistries AB (XPC) Fair Value & Analysis

Basic Materials · SE · Market cap 56.4M SEK

Pricekr 0.1730
Fair Valuekr 0.0500
Upside-71.1%
Quality95/100
Evidence: Low Range kr 0.0300 – kr 0.0700

Fair value as of: Jun 26, 2026

Analysis

XP Chemistries AB (XPC) currently trades at kr 0.1730, while our model-based Fair Value estimate is kr 0.0500 — implying the stock looks roughly 71.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

XP Chemistries AB (publ), a biotechnology company, engages in the development and production of forest-based capsaicin and analogues. It offers animal feed ingredients; personal care and cosmetic ingredients; pure capsaicinoids; and self-defense spray ingredients. The company was incorporated in 2018 and is based in Sundsvall, Sweden.

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Frequently asked questions

Is XP Chemistries AB (XPC) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.0500 versus a price of kr 0.1730 — about −71% (overvalued). Model-based estimate, not financial advice.
What is the fair value of XPC?
Our 21-model fair value for XP Chemistries AB is kr 0.0500 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 0.1730.
What is the quality score of XPC?
XP Chemistries AB has a Quality Score of 95/100, 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.