Bang Overseas Limited (BANG) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹432M
Fair value as of: Aug 2, 2026
From 15 valuation models · updated 11 days ago
Share price +2.3% over the past month.
A solid business, screening 147% undervalued on our models.
What matters now
- The price is below even our cautious bear case (₹51.25). The market is more pessimistic than our downside scenario.
- Solid quality (55/100) at a price below fair value, the discount is the argument here, not the business quality.
- A fairly wide model range (₹51.25 to ₹93.19) leaves room in how you read the outcome.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 2, 2026.
How to read this chart
60‑month range ₹26.85 – ₹94.50 · fair‑value band ₹51.25 – ₹93.19 · the ₹29.60 price screens below the ₹73.21 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Aug 2, 2026.
Analysis
Bang Overseas Limited (BANG) currently trades at ₹29.60, while our model-based Fair Value estimate is ₹73.21, implying the stock looks roughly 147.3% undervalued today. The Quality Score stands at 55/100 (solid quality), in the Consumer Cyclical 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.
Over the trailing twelve months, Bang Overseas Limited generated revenue of ₹216M at a net margin of 28.5%. Revenue grew 20.3% year over year. It earns a return on equity of 6.1%. Net debt stands at ₹369M. Fundamentals as of Aug 2, 2026
Our scenario range runs from ₹51.25 (bear case) to ₹93.19 (bull case); at ₹29.60, the current price sits below that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 54% below its 52-week high and 11% above its 52-week low, currently below its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at 7% fair-value upside, at 147%, BANG screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 15 models by family
Widest divergence: DCF Models (₹74.75) versus Economic Profit (₹36.78). Highest evidence: ROIC Compounder (72).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 2, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 49 · Market factors (momentum, volatility) 22
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Bang Overseas Limited, together with its subsidiaries, engages in the manufacture and trade of textile and textile products in India and internationally. The company offers men's formal and casual wear under the Thomas Scott, Italian Gold, Hammersmith, Bang & Scott, Bang Europa, and FCC brand names.
Full company description
Bang Overseas Limited, together with its subsidiaries, engages in the manufacture and trade of textile and textile products in India and internationally. The company offers men's formal and casual wear under the Thomas Scott, Italian Gold, Hammersmith, Bang & Scott, Bang Europa, and FCC brand names. It also provides concept development, designing, manufacturing, logistics, and marketing services. The company was incorporated in 1992 and is headquartered in Mumbai, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Bang Overseas Limited reported revenue of ₹2.2B in FY2026 versus ₹817M in FY2022, a compound +28.7%/yr. Reported net income was ₹59.5M in FY2026, compounding +4.8%/yr from FY2022.
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Peer Group
Apparel Manufacturing · 214 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Apparel Manufacturing median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Apparel Manufacturing stocks, each showing price versus our Fair Value estimate (as of Aug 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| H & M Hennes & Mauritz AB HMB | kr 163.45 | kr 165.47 | +1% |
| Ralph Lauren Corporation RL | $374.08 | $224.21 | -40% |
| LPP SA LPP | 19,380 PLN | 17,754 PLN | -8% |
| Bosideng International Holdings 3998 | HK$4.88 | HK$5.92 | +21% |
| Youngor Fashion Co 600177 | ¥7.57 | ¥5.59 | -26% |
| Page Industries Limited PAGEIND | ₹39,900 | ₹12,395 | -69% |
| Hla Group 600398 | ¥6.05 | ¥9.92 | +64% |
| Eclat Textile Co 1476 | 333.50 TWD | 357.81 TWD | +7% |
| Youngone Corporation 111770 | 87,600 KRW | 196,629 KRW | +124% |
| Zhejiang Semir Garment Co 002563 | ¥5.61 | ¥7.29 | +30% |
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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.
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