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Ceylon Graphite Corp (CYL) Fair Value & Analysis

Basic Materials · CA · Market cap A$1.4B

PriceA$5.72
Fair ValueA$7.36
Upside+28.7%
Quality95/100
Evidence: High Range A$3.96 – A$15.01

Fair value as of: Jun 24, 2026

Analysis

Ceylon Graphite Corp (CYL) currently trades at A$5.72, while our model-based Fair Value estimate is A$7.36 — implying the stock looks roughly 28.7% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high) — always confirm before acting.

About the company

Ceylon Graphite Corp. engages in the production of graphite and mineral exploration activities in Sri Lanka. The company holds a land package of approximately 121 square kilometers grids that consists of vein graphite deposits. Ceylon Graphite Corp. is based in Vancouver, Canada.

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Frequently asked questions

Is Ceylon Graphite Corp (CYL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$7.36 versus a price of A$5.72 — about +29% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CYL?
Our 21-model fair value for Ceylon Graphite Corp is A$7.36 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$5.72.
What is the quality score of CYL?
Ceylon Graphite Corp 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.