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Sephaku Holdings (SEP) Fair Value & Analysis

Basic Materials · ZA · Market cap 417M ZAC

Price2.00 ZAC
Fair Value5.43 ZAC
Upside+171.5%
Quality95/100
Evidence: High Range 3.93 ZAC – 6.79 ZAC

Fair value as of: Jun 26, 2026

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Analysis

Sephaku Holdings (SEP) currently trades at 2.00 ZAC, while our model-based Fair Value estimate is 5.43 ZAC — implying the stock looks roughly 171.5% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Sephaku Holdings Limited operates as a construction materials company in South Africa. It is involved in the manufacturing and supply of ready-mixed concrete products for the residential, commercial, and industrial markets. The company was incorporated in 2005 and is based in Irene, South Africa.

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Frequently asked questions

Is Sephaku Holdings (SEP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 5.43 ZAC versus a price of 2.00 ZAC — about +172% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SEP?
Our 21-model fair value for Sephaku Holdings is 5.43 ZAC (as of Jun 26, 2026), built from audited fundamentals. The current price is 2.00 ZAC.
What is the quality score of SEP?
Sephaku Holdings 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.