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Suncorp Technologies Limited (SUNTF) Fair Value & Analysis

Industrials · US · Market cap $20.0M

Price$0.0130
Fair Value$0.0147
Upside+13.0%
Quality95/100
Evidence: Low Range $0.0138 – $0.0155

Fair value as of: Jun 26, 2026

Analysis

Suncorp Technologies Limited (SUNTF) currently trades at $0.0130, while our model-based Fair Value estimate is $0.0147 — implying the stock looks roughly 13.0% 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

Suncorp Technologies Limited, an investment holding company, engages in the processing and trading of used computer-related components in the People's Republic of China, Indonesia, the United States, Singapore, the United Arab Emirates, Sri Lanka, and internationally. It also sells clothes and beauty products; and provides securities brokerage, placing, and underwriting services, as well as involved in money lending business. The company was incorporated in 1994 and is based in Central, Hong Kong.

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Frequently asked questions

Is Suncorp Technologies Limited (SUNTF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0147 versus a price of $0.0130 — about +13% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SUNTF?
Our 21-model fair value for Suncorp Technologies Limited is $0.0147 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0130.
What is the quality score of SUNTF?
Suncorp Technologies 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.