goeasy Ltd (EHMEF) Fair Value & Analysis
Financial Services · US · Market cap $473M
Fair value as of: Jun 25, 2026
Analysis
goeasy Ltd (EHMEF) currently trades at $29.60, while our model-based Fair Value estimate is $59.20 — implying the stock looks roughly 100.0% 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: low) — always confirm before acting.
About the company
goeasy Ltd. provides non-prime leasing and lending services under the easyhome, easyfinancial, and LendCare brands to consumers in Canada. It operates through two segments, Easyfinancial and Easyhome. The company offers unsecured and secured installment loans; home equity and improvement, secured instalment loans and automotive vehicle financing; and loans to finance the purchase of retail goods, powersports and recreational vehicles, home improvement projects, and healthcare related products and services. It also leases household furniture, appliances, electronics, and unsecured lending products to retail consumers. The company was formerly known as easyhome Ltd. and changed its name to goeasy Ltd. in September 2015. goeasy Ltd. was incorporated in 1990 and is headquartered in Mississauga, Canada.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is goeasy Ltd (EHMEF) undervalued?
What is the fair value of EHMEF?
What is the quality score of EHMEF?
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.