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Vmoto Limited (VMT) Fair Value & Analysis

Consumer Cyclical · AU · Market cap A$47.9M

PriceA$0.1100
Fair ValueA$0.4700
Upside+327.3%
Quality95/100
Evidence: Low Range A$0.2400 – A$0.7000

Fair value as of: Jun 26, 2026

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Analysis

Vmoto Limited (VMT) currently trades at A$0.1100, while our model-based Fair Value estimate is A$0.4700 — implying the stock looks roughly 327.3% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.

About the company

Vmoto Limited, together with its subsidiaries, engages in the development, manufacture, marketing, and distribution of electric two-wheel vehicles worldwide. The company offers electric two-wheel vehicles, including electric mopeds and motorcycles under the VMOTO and VMOTO Fleet brand names. It also provides fast charging stations and battery swapping stations. The company was incorporated in 2001 and is headquartered in Perth, Australia.

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Frequently asked questions

Is Vmoto Limited (VMT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.4700 versus a price of A$0.1100 — about +327% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VMT?
Our 21-model fair value for Vmoto Limited is A$0.4700 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1100.
What is the quality score of VMT?
Vmoto Limited 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.