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Rumbu Holdings (RMB) Fair Value & Analysis

Consumer Cyclical · CA · Market cap C$8.0M

PriceC$0.5500
Fair ValueC$0.7200
Upside+30.9%
Quality91/100
Evidence: High Range C$0.5400 – C$0.9000

Fair value as of: Jun 24, 2026

Analysis

Rumbu Holdings (RMB) currently trades at C$0.5500, while our model-based Fair Value estimate is C$0.7200 — implying the stock looks roughly 30.9% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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

Rumbu Holdings Ltd. engages in the acquisition of funeral homes in Western Canada. The company offers funeral and cremation services, and other ancillary funeral services. It also sells burial caskets, urns, outer burial containers, and other funeral and cremation merchandise. Rumbu Holdings Ltd. is headquartered in Calgary, Canada.

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Frequently asked questions

Is Rumbu Holdings (RMB) undervalued?
As of Jun 24, 2026, our model estimates a fair value of C$0.7200 versus a price of C$0.5500 — about +31% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RMB?
Our 21-model fair value for Rumbu Holdings is C$0.7200 (as of Jun 24, 2026), built from audited fundamentals. The current price is C$0.5500.
What is the quality score of RMB?
Rumbu Holdings has a Quality Score of 91/100, 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.