Mincon Group (MIO) Fair Value & Analysis
Industrials · IE · Market cap €132M
Fair value as of: Jun 24, 2026
Analysis
Mincon Group (MIO) currently trades at €0.6200, while our model-based Fair Value estimate is €0.5000 — implying the stock looks roughly 19.4% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Mincon Group plc engages in designing, manufacturing, selling, and servicing of c and associated products in Ireland, the Americas, Europe, Australasia, the Middle East, and Africa. The company offers drill bits and mast attachments for excavators; down the hole (DTH) hammers; DTH drill bits for various rock-drilling applications; XP+ rotary drill bits; and construction and geotechnical solutions, including solitary, integrated, large ID, retrievable, drill through, m-wall solitary, and m-wall integrated ring bit systems, as well as spiral flush products. It also provides reverse circulation drilling products; drill pipes; horizontal directional drilling products; and shock absorbers. The company offers its products for mining, construction, geothermal and water-well drilling, and renewable energy applications. It also sells third party products. The company was formerly known as Manrock plc and changed its name to Mincon Group plc in September 2013. The company was founded in 1977 …
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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.