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SIV Capital Limited (SIV) Fair Value & Analysis

Industrials · AU · Market cap A$7.1M

PriceA$0.1500
Fair ValueA$0.1800
Upside+20.0%
Quality95/100
Evidence: Low Range A$0.1800 – A$0.1800

Fair value as of: Jun 26, 2026

Analysis

SIV Capital Limited (SIV) currently trades at A$0.1500, while our model-based Fair Value estimate is A$0.1800 — implying the stock looks roughly 20.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

SIV Capital Limited engages in the rental of commercial equipment to businesses in Australia. It is also involved in the recovery of outstanding monies. The company was formerly known as Silver Chef Limited and changed its name to SIV Capital Limited in November 2019. The company was incorporated in 1990 and is based in West End, Australia.

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Frequently asked questions

Is SIV Capital Limited (SIV) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.1800 versus a price of A$0.1500 — about +20% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SIV?
Our 21-model fair value for SIV Capital Limited is A$0.1800 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1500.
What is the quality score of SIV?
SIV Capital 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.