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Infragreen Group (IFN) Fair Value & Analysis

Industrials · AU · Market cap A$96.8M

PriceA$0.4250
Fair ValueA$0.5704
Upside+34.2%
Quality95/100
Evidence: Low Range A$0.4297 – A$0.7093

Fair value as of: Jun 25, 2026

Analysis

Infragreen Group (IFN) currently trades at A$0.4250, while our model-based Fair Value estimate is A$0.5704 — implying the stock looks roughly 34.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.

About the company

Infragreen Group Limited engages in the recycling and waste recovery, and clean energy and transition businesses in Australia and New Zealand. It is involved in regulated waste recycling; ferrous and non-ferrous metals collection, processing, export, and recycling; solar energy generation; and gas- and diesel-powered peaking power activities. Infragreen Group Limited was incorporated in 2023 and is based in Fortitude Valley, Australia.

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Frequently asked questions

Is Infragreen Group (IFN) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.5704 versus a price of A$0.4250 — about +34% (undervalued). Model-based estimate, not financial advice.
What is the fair value of IFN?
Our 21-model fair value for Infragreen Group is A$0.5704 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.4250.
What is the quality score of IFN?
Infragreen Group 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.