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Propel Holdings (PRLPF) Fair Value & Analysis

Financial Services · US · Market cap $692M

Price$16.64
Fair Value$20.00
Upside+20.2%
Quality95/100
Evidence: High Range $11.71 – $37.33

Fair value as of: Jun 25, 2026

Analysis

Propel Holdings (PRLPF) currently trades at $16.64, while our model-based Fair Value estimate is $20.00 — implying the stock looks roughly 20.2% 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

Propel Holdings Inc., together with its subsidiaries, operates as a financial technology company. The company's lending platform facilitates to credit products, such as installment loans and lines of credit under the MoneyKey, CreditFresh, Fora Credit, and QuidMarket brands to American consumers. It also offers marketing, analytics, and loan servicing services. The company was formerly known as 2288984 Ontario Inc. and changed its name to Propel Holdings Inc. in June 2021. Propel Holdings Inc. was incorporated in 2011 and is headquartered in Toronto, Canada.

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Frequently asked questions

Is Propel Holdings (PRLPF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $20.00 versus a price of $16.64 — about +20% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PRLPF?
Our 21-model fair value for Propel Holdings is $20.00 (as of Jun 25, 2026), built from audited fundamentals. The current price is $16.64.
What is the quality score of PRLPF?
Propel Holdings has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.