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Servcorp Limited (SRV) Fair Value & Analysis

Real Estate · AU · Market cap A$669M

PriceA$6.76
Fair ValueA$16.90
Upside+150.0%
Quality95/100
Evidence: High Range A$12.09 – A$21.71

Fair value as of: Jun 26, 2026

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Analysis

Servcorp Limited (SRV) currently trades at A$6.76, while our model-based Fair Value estimate is A$16.90 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Servcorp Limited provides executive serviced and virtual offices, coworking and IT, communications, and secretarial services in Australia, New Zealand, Southeast Asia, the United States, Europe, the Middle East, North Asia, and internationally. The company offers office space solutions; and virtual office services, including business address, phone number, call handling, mail forwarding, and secretarial and receptionist services. It also provides co-working and meeting room services. The company was founded in 1978 and is headquartered in Sydney, Australia.

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Frequently asked questions

Is Servcorp Limited (SRV) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$16.90 versus a price of A$6.76 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SRV?
Our 21-model fair value for Servcorp Limited is A$16.90 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$6.76.
What is the quality score of SRV?
Servcorp 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.