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OneMain Holdings (OMF) Fair Value & Analysis

Financial Services · US · Market cap $6.4B

Price$58.58
Fair Value$69.89
Upside+19.3%
Quality95/100
Evidence: High Range $39.15 – $110.13

Analysis

OneMain Holdings (OMF) currently trades at $58.58, while our model-based Fair Value estimate is $69.89 — implying the stock looks roughly 19.3% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

OneMain Holdings, Inc., a financial service holding company, engages in the consumer finance and insurance businesses in the United States. The company provides origination, underwriting, and servicing of consumer loans, consisting of personal loans and auto finance. It also offers secured auto financing; credit cards; optional credit insurance products, including life, disability, and involuntary unemployment insurance; optional non-credit insurance; guaranteed asset protection coverage as a waiver product or insurance; and membership plans. The company provides personal loans through its branch network, central operations, digital affiliates, and its website. The company was formerly known as Springleaf Holdings, Inc. and changed its name to OneMain Holdings, Inc. in November 2015. OneMain Holdings, Inc. was incorporated in 2013 and is based in Evansville, Indiana. OneMain Holdings, Inc. operates as a subsidiary of Omh (Ml), L.P.

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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.