DGL Group (DGL) Fair Value & Analysis
Basic Materials · AU · Market cap A$95.6M
Fair value as of: Jun 25, 2026
Analysis
DGL Group (DGL) currently trades at A$0.3050, while our model-based Fair Value estimate is A$0.4482 — implying the stock looks roughly 47.0% 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
DGL Group Limited operates as a supplier of chemical logistics and services in Australia, New Zealand, and the United States. The company operates through Chemical Manufacturing, Logistics, and Environmental Solutions segments. The Chemical Manufacturing segment engages in the production of specialty chemicals; undertakes advanced formulation and contract manufacturing on behalf of third parties; and manufactures DGL branded goods. The Logistics segment offers transport, logistics, and warehousing services focusing on dangerous and hazardous goods, as well as freight forwarding and inventory management services. This segment also manages logistics and distribution for other goods including food, pharmaceutical products, agricultural products, security sensitive goods, and temperature-controlled products. The Environmental Solutions segment is involved in resource recovery and waste management comprising liquid waste treatment, end-of-life lead acid battery recycling, and lead smelti…
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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.