Super Retail Group (ASX: SUL) — Investment Research Report
3-Year / 5-Year Price Scenarios: Four-Master Analysis
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Key metrics
| Price | $13.3 |
|---|---|
| Market cap | $3.03B |
| P/E (TTM) | 15.43 |
| Forward P/E | 14.2 |
| Dividend yield | 4.5% |
| Analyst target | $15 |
| 52-week range | $10.08 – $20.2 |
| 5y downside | -45.1% |
Four-master scores
| Business | 4 / 5 |
|---|---|
| Moat | 3 / 5 |
| Management | 4 / 5 |
| Risk | 3 / 5 |
| Civilization | 3 / 5 |
| Valuation | 3 / 5 |
| Total | 20 |
Verdict — accumulate
A high-quality Australian specialty retailer with strong brands, loyalty data and store scale, but discretionary demand and valuation leave only a moderate margin of safety.
Original research thesis (2026-07-31): A high-quality Australian specialty retailer with strong brands, loyalty data and store scale, but discretionary demand and valuation leave only a moderate margin of safety.
3-Year / 5-Year Price Scenarios
Base EPS: $0.86 — Yahoo Finance TTM diluted EPS at 31 December 2025; FY25 basic EPS was A$0.982. Retail recovery, wage costs, shrinkage and discretionary demand are the key swing factors.
3-year price scenarios
| Case | Prob. | Target | Upside | Growth | P/E |
|---|---|---|---|---|---|
| Bull | 25.0% | $18.7 | 40.6% | 10.0% | 18 |
| Base | 50.0% | $15 | 12.8% | 5.0% | 15 |
| Bear | 25.0% | $8.5 | -36.1% | -8.0% | 11 |
| Weighted | $14.3 | 7.5% |
5-year price scenarios
| Case | Prob. | Target | Upside | Growth | P/E |
|---|---|---|---|---|---|
| Bull | 25.0% | $21 | 57.9% | 8.0% | 19 |
| Base | 50.0% | $16.5 | 24.1% | 5.0% | 15 |
| Bear | 25.0% | $7.3 | -45.1% | -3.0% | 10 |
| Weighted | $15.33 | 15.2% |
0. Information Richness & AI Limitations
Grade A. SUL publishes audited annual and interim reports, ASX announcements and segment disclosures. Confidence in the historical numbers is high; confidence in scenario targets is materially lower because retail earnings depend on weather, promotions, wages, inventory and household budgets.
1. Data & Cross-Validation
Yahoo Finance reported SUL.AX at A$13.30 on 31 July 2026, with TTM diluted EPS of A$0.862, TTM revenue of A$4.158B and 227.72M diluted average shares. Price x diluted shares implies approximately A$3.03B market capitalisation. The ASX FY25 annual report records revenue of A$4.070B, attributable profit of A$221.8M and basic EPS of A$0.982. The ASX calendar lists the FY26 interim report on 26 February 2026; no FY26 annual result was listed by the 31 July cutoff. Sources: ASX FY25 Annual Report, ASX FY26 Interim Report, Yahoo Finance fundamentals.
2. Business Essence — Duan Yongping
One line: SUL operates category-led retail brands that turn product assortment, store networks, loyalty data and omnichannel fulfilment into recurring customer transactions. Supercheap Auto serves automotive enthusiasts; Rebel serves sport; BCF serves boating, camping and fishing; Macpac serves outdoor apparel. The value is convenience, trusted range and specialist advice, but purchases remain discretionary and cyclical.
3. Moat — Buffett
The moat is moderate rather than absolute: national store scale, recognised brands, buying power, loyalty programs, proprietary customer data and distribution density. Category expertise and local fulfilment make the proposition harder to copy than a generic online shop. The moat widens when SUL converts data into better availability and personalisation; it narrows if Amazon, department stores or branded suppliers disintermediate the categories.
4. Reverse Thinking & Risks — Munger
| Failure path | Likelihood | Impact |
|---|---|---|
| Household recession delays discretionary purchases | Medium | High |
| Promotional intensity compresses gross margin | Medium | High |
| Inventory, shrinkage or supply-chain errors | Medium | Medium |
| Online competitors take high-margin categories | Medium | Medium |
| Store leases and wages rise faster than sales | Medium | Medium |
The inversion is simple: a retailer can look cheap on peak earnings. Disconfirming evidence would be several periods of positive comparable sales, stable gross margin and improving cash conversion despite weak consumer confidence.
5. Management — Duan Yongping + Buffett
SUL has a long operating history and a portfolio approach that preserves distinct category brands while sharing scale, data and infrastructure. Management's record should be judged through inventory discipline, return on capital, balance-sheet resilience and whether dividends are covered by free cash flow. Capital allocation is sound when store investment and digital capability earn acceptable returns; buybacks or dividends funded by debt would invalidate that assessment.
6. Industry & Civilizational Trend — Li Lu
Retail is not a high-TAM technology story, but specialist participation categories remain durable: people maintain cars, play sport and spend time outdoors. Digital commerce is a permanent channel shift, not a temporary threat; the winners will combine stores, data and fast fulfilment. SUL sits between suppliers and consumers and must keep proving that its physical network adds convenience rather than merely fixed cost.
7. Valuation & Scenarios — Buffett + Duan
At A$13.30, the share price is about 15.4x Yahoo TTM diluted EPS and the implied market cap is approximately A$3.03B. The scenarios use A$0.862 TTM EPS, explicit probabilities summing to 1, and P/E ranges of 10–19x. The base assumes 5% EPS growth and a 15x exit multiple; the bear combines falling EPS with a lower multiple. Weighted targets are A$14.30 in three years and A$15.33 in five years before dividends. Key uncertainties are the timing of consumer recovery, promotional intensity, lease/wage inflation and whether digital investment improves returns.
8. Decision Memo
Stance: accumulate selectively. A$11–13 offers a better margin of safety; at A$13.30 the expected value is positive but not compelling enough for an aggressive purchase. Add when comparable sales and gross margin stabilise without inventory growth. Sell or reassess if the brands lose traffic, cash conversion deteriorates or management protects the dividend by levering the balance sheet. The thesis is invalidated by evidence that store scale and loyalty data no longer offset online price transparency.
Four-Master Commentary
These are analytical simulations, not real quotations.
Buffett: A branded, understandable retailer can compound if it protects customer trust and earns good returns on stores, but the price must leave room for a bad retail season.
Munger: Invert it: don't confuse a normalised margin with a permanent one. Promotions, shrinkage and leases can make a seemingly cheap retailer expensive.
Duan Yongping: The brands and customer relationships are the right assets; wait for a price that respects the cyclicality.
Li Lu: Retail is a distribution layer in a changing consumer system. The long-term winner is the operator that uses technology to make its physical network more useful, not merely larger.
Analysis output, not investment advice. Scenario probabilities and scores are subjective analyst judgment.