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PesoRama Inc (PESO) Fair Value & Analysis

Consumer Defensive · CA · Market cap C$127M

PriceC$0.5700
Fair ValueC$0.1400
Upside-75.4%
Quality95/100
Evidence: Low Range C$0.1000 – C$0.1700

Fair value as of: Jun 23, 2026

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Analysis

PesoRama Inc (PESO) currently trades at C$0.5700, while our model-based Fair Value estimate is C$0.1400 — implying the stock looks roughly 75.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: low).

About the company

PesoRama Inc., through its subsidiaries, operates a chain of retail stores under the Joi Dollar Plus brand name in Mexico. The company's stores offer household goods, pet supplies, seasonal products, party supplies, health and beauty, snack food items, confectionery, and other products. PesoRama Inc. was founded in 2019 and is based in Toronto, Canada.

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Frequently asked questions

Is PesoRama Inc (PESO) undervalued?
As of Jun 23, 2026, our model estimates a fair value of C$0.1400 versus a price of C$0.5700 — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PESO?
Our 21-model fair value for PesoRama Inc is C$0.1400 (as of Jun 23, 2026), built from audited fundamentals. The current price is C$0.5700.
What is the quality score of PESO?
PesoRama Inc 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.