Metallus Inc (MTUS) Fair Value & Analysis
Basic Materials · US · Market cap $804M
Fair value as of: Jun 24, 2026
Analysis
Metallus Inc (MTUS) currently trades at $19.28, while our model-based Fair Value estimate is $2.93 — implying the stock looks roughly 84.8% 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: medium).
About the company
Metallus Inc. manufactures and sells alloy steel, and carbon and micro-alloy steel products in the United States and internationally. It provides special bar quality (SBQ) bars, seamless mechanical tubes, precision steel components, and billets that are used in gears, hubs, axles, crankshafts and motor shafts, oil country drill pipes, bits and collars, bearing races and rolling elements, bushings, fuel injectors, wind energy shafts, anti-friction bearings, artillery and mortar bodies, and other applications. The company also offers customized precision steel components. It offers its products and services to the automotive, energy, industrial equipment, mining, construction, rail, aerospace and defense, heavy truck, agriculture, and power generation sectors. The company was formerly known as TimkenSteel Corporation and changed its name to Metallus Inc. in February 2024. Metallus Inc. was founded in 1899 and is headquartered in Canton, Ohio.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Metallus Inc (MTUS) undervalued?
What is the fair value of MTUS?
What is the quality score of MTUS?
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.