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ChargePanel AB (CHARGE) Fair Value & Analysis

Technology · SE · Market cap 69.5M SEK

Pricekr 1.51
Fair Valuekr 0.5100
Upside-66.2%
Quality95/100
Evidence: Low Range kr 0.3800 – kr 0.6400

Fair value as of: Jun 24, 2026

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Analysis

ChargePanel AB (CHARGE) currently trades at kr 1.51, while our model-based Fair Value estimate is kr 0.5100 — implying the stock looks roughly 66.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

ChargePanel AB (publ) provides a SaaS platform for the operation and management of electric vehicle charging networks. It offers ChargePanel Enterprise, ChargePanel Cloud, and ChargePanel Connect for Charge Point operators and e-mobility service providers. The company also provides ChargePanel Go, a managed EV charging service via the Connect GO App; EV fleet management software and services; and EV roaming. It offers its platform for businesses, charge point operators, drivers, e-mobility service providers, energy companies, installers, organizations, and resellers. ChargePanel AB (publ) was incorporated in 2014 and is based in Stockholm, Sweden.

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Frequently asked questions

Is ChargePanel AB (CHARGE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 0.5100 versus a price of kr 1.51 — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CHARGE?
Our 21-model fair value for ChargePanel AB is kr 0.5100 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 1.51.
What is the quality score of CHARGE?
ChargePanel 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.