Mitchell Services Limited (MSV) Fair Value & Analysis
Basic Materials · AU · Market cap A$105M
Fair value as of: Jun 24, 2026
Analysis
Mitchell Services Limited (MSV) currently trades at A$0.4600, while our model-based Fair Value estimate is A$0.1700 — implying the stock looks roughly 63.0% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).
About the company
Mitchell Services Limited, together with its subsidiaries, provides exploration, and mine site and geotechnical drilling services to the exploration, mining, and energy industries in Australia. The company provides drilling services, such as greenfield exploration, project feasibility, mine site exploration and resource definition, development, and production, as well as decarbonisation solutions. It also offers surface drilling services, including diamond coring, directional, mud rotary, mine services, mineral performance drilling (MPD), geotechnical, water bores, and reverse circulation services. In addition, it provides underground drilling services comprising diamond coring, directional, underground in seam, mine services, and geotechnical. The company was formerly known as Drill Torque Limited and changed its name to Mitchell Services Limited in December 2013. Mitchell Services Limited was founded in 1969 and is headquartered in Seventeen Mile Rocks, 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.