NFI Group (NFI) Fair Value & Analysis
Consumer Cyclical · CA · Market cap C$2.7B
Analysis
NFI Group (NFI) currently trades at C$23.10, while our model-based Fair Value estimate is C$19.66 — implying the stock looks roughly 14.9% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
NFI Group Inc., together with its subsidiaries, manufactures and sells buses in North America, the United Kingdom, rest of Europe, and the Asia Pacific. It operates through Manufacturing Operations and Aftermarket Operations segments. The Manufacturing Operations segment designs, manufactures, services, and supports transit buses, motor coaches, medium-duty, and cutaway buses; the installation of infrastructure for electric vehicles; and the third-party sales of fiberglass reinforced polymer components. The Aftermarket Operations segment engages in the sale of aftermarket parts and services for transit buses, coaches, and medium-duty/cutaway buses. In addition, the company offers heavy-duty transit buses under the New Flyer brand name; single and double-deck buses under the and Alexander Dennis brand; motor coaches under he MCI brand name; and low-floor cutaway, and medium-duty buses under the ARBOC brand, as well as sells aftermarket parts under the NFI Parts brand. It also engages…
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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.