Toromont Industries Ltd (TMTNY) Fair Value & Analysis
Industrials · US · Market cap $13.8B
Fair value as of: Jun 24, 2026
Analysis
Toromont Industries Ltd (TMTNY) currently trades at $32.93, while our model-based Fair Value estimate is $17.32 — implying the stock looks roughly 47.4% overvalued today. We read business quality at 91/100 (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
Toromont Industries Ltd. provides specialized capital equipment in Canada, the United States, and internationally. It operates in two segments, Equipment Group and CIMCO. The Equipment Group segment engages in the supply and rent business; providing product support services for specialized mobile equipment, industrial engines, material handling lift trucks, and heavy equipment rentals; designing and fabricating power generation and storage enclosures; suppling control systems for specialized mobile equipment; and developing distributed generators and combined heat and power projects using Caterpillar engines. This segment serves road building, mining, aggregates, public infrastructure, residential construction, power generation, forestry, on-highway truck engines, industrial, demolition and waste management markets. The CIMCO segment is involved in the design, engineering, fabrication, installation, and after-sale support of refrigeration systems in industrial and recreational marke…
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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.