Restaurant Brand Asia (Burger King) P/E Ratio
Restaurant Brand Asia (Burger King) P/E ratio. Restaurant Brand Asia (Burger King) (RBA) P/E ratio is not applicable — EPS (TTM) ₹-3.19, 8 consecutive loss quarters. See Leisure Services peers with valid P/E ratios below.
P/E Ratio Status
N/A
Loss Making
Company is currently reporting losses
P/E Ratio Not Applicable
Company has been reporting losses for 8 consecutive quarters. P/E ratio cannot be calculated for loss-making companies.
Consecutive Loss Quarters: 8
Current EPS: ₹-3.19
Recent Quarterly Performance
| Quarter | EPS (₹) | Net Profit (₹ Cr) | Status |
|---|---|---|---|
| Mar 2026 | -0.73 | -47 | Loss |
| Jun 2026 | -0.45 | -33 | Loss |
| Sept 2025 | -1.01 | -63 | Loss |
| Mar 2025 | -1.13 | -60 | Loss |
| Jun 2025 | -0.72 | -45 | Loss |
| Dec 2025 | -0.75 | -48 | Loss |
| Sept 2024 | -1.21 | -65 | Loss |
| Mar 2024 | -1.72 | -92 | Loss |
Leisure Services Peers with Valid P/E Ratios — RBA Comparison
Leisure Services sector average P/E 45.9, median 27.62 — RBA excluded (negative EPS).
Sector Average PE
45.9
Sector Median PE
27.62
Lowest PE
0.5
Profitable Companies
84
| Company | Symbol | P/E Ratio | Market Cap (₹ Cr) | Valuation |
|---|---|---|---|---|
| Ajwa Fun World & Resort | AJWAFUN | 0.5 | ₹25 | Low |
| Phoenix Township | PHOENIXTN | 2.92 | ₹150 | Low |
| Coffee Day Enterprises | COFFEEDAY | 3.3 | ₹641 | Low |
| Landmark Global Learning | LGLL | 3.65 | ₹53 | Low |
| Western Overseas Study A… | WOSAL | 4.48 | ₹11 | Low |
| Taj GVK Hotels & Resorts | TAJGVK | 4.74 | ₹1,977 | Low |
| Travels & Rentals | TRAVELS | 5.3 | ₹17 | Low |
| Goel Food Products | GOEL | 7.33 | ₹20 | Low |
| LGT Global Hospitality | LGT | 7.69 | ₹36 | Low |
| Sanghvi Brands | SBRANDS | 8.97 | ₹13 | Low |
Related Analysis
- For live price, revenue and the complete fundamental profile, see Restaurant Brand Asia (Burger stock price NSE.
- Examine Restaurant Brand Asia (Burger quarterly earnings for recent quarterly revenue, profit and EPS trends.
- Also explore RBA price movement history to track price trends across different timeframes.