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Perenti Limited (PRN) Fair Value & Analysis

Basic Materials · AU · Market cap A$2.0B

PriceA$2.29
Fair ValueA$2.83
Upside+23.6%
Quality93/100
Evidence: High Range A$1.88 – A$3.77

Analysis

Perenti Limited (PRN) currently trades at A$2.29, while our model-based Fair Value estimate is A$2.83 — implying the stock looks roughly 23.6% undervalued today. We read business quality at 93/100 (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

Perenti Limited operates as a mining services company worldwide. The company operates through Contract Mining, Drilling Services, and Mining and Technology Services segments. It offers underground and surface contract mining, exploration drilling, earthmoving, and machinery rebuilds services; and drilling services including specialized deep hole multi-intersectional directional diamond core drilling, underground diamond core drilling, drilling and blasting, and in-pit grade control services. The company also provides mining support services, such as equipment hire, equipment parts and sales, equipment supply, logistics services, and technology driven products and services. In addition, it engages in parts manufacturing. The company was formerly known as Perenti Global Limited and changed its name to Perenti Limited in October 2022. Perenti Limited was incorporated in 1986 and is headquartered in Northbridge, Australia.

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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.