InnovAge Holding (INNV) Fair Value & Analysis
Healthcare · US · Market cap $1.2B
Analysis
InnovAge Holding (INNV) currently trades at $9.32, while our model-based Fair Value estimate is $7.79 — implying the stock looks roughly 16.4% overvalued today. We read business quality at 88/100 (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: medium).
About the company
InnovAge Holding Corp. manages and provides a range of medical and ancillary services for seniors in need of care and support to live independently in its homes and communities. It manages its business through Program of All-Inclusive Care for the Elderly (PACE) approach. The company also offers in-home care services consisting of skilled, unskilled, and personal care; in-center services, such as primary care, physical therapy, occupational therapy, speech therapy, dental services, mental health and psychiatric services, meals, and activities; transportation to and from the PACE center and third-party medical appointments; and care management. It serves participants in the United States; and operates PACE centers in Colorado, California, New Mexico, Pennsylvania, Florida, and Virginia. The company was formerly known as TCO Group Holdings, Inc. and changed its name to InnovAge Holding Corp. in January 2021. InnovAge Holding Corp. was founded in 1989 and is headquartered in Denver, Co…
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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.