InfuSystem Holdings (INFU) Fair Value & Analysis
Healthcare · US · Market cap $190M
Fair value as of: Jun 24, 2026
Analysis
InfuSystem Holdings (INFU) currently trades at $9.08, while our model-based Fair Value estimate is $7.67 — implying the stock looks roughly 15.5% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
InfuSystem Holdings, Inc., through its subsidiaries, provides infusion pumps and related products and services in the United States and Canada. It operates through two segments: Patient Services and Device Solutions. The company supplies electronic ambulatory infusion pumps and associated disposable supply kits to oncology, infusion, and hospital outpatient chemotherapy clinics for the treatment of various cancers, including colorectal cancer, pain management, and other disease states. It also sells and rents new and pre-owned pole-mounted and ambulatory infusion pumps, and other durable medical equipment; sells treatment-related consumables; and provides biomedical recertification, maintenance, and repair services for oncology practices, as well as other healthcare site settings comprising hospitals, home care and home infusion providers, skilled nursing and acute care facilities, pain centers, and others. In addition, the company offers local and field-based customer support, as w…
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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.