OROSIL SMITHS INDIA LTD.-$ (OROSMITHS) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹262M
Fair value as of: Aug 13, 2026
From 12 valuation models · updated 6 days ago
A solid business, but screening 38% overvalued on our models.
What matters now
- The model range is unusually wide (₹1.85 to ₹8.88). The outcome hinges heavily on assumptions, so read the point estimate with caution.
- Solid but not exceptional quality (57/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.
How to read this chart
60‑month range ₹2.59 – ₹10.37 · fair‑value band ₹1.85 – ₹8.88 · the ₹6.50 price screens above the ₹4.05 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
OROSIL SMITHS INDIA LTD.-$ (OROSMITHS) currently trades at ₹6.50, while our model-based Fair Value estimate is ₹4.05, implying the stock looks roughly 37.8% overvalued today. The Quality Score stands at 57/100 (solid quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: medium).
Trailing-twelve-month revenue stands at ₹26.5M. Revenue declined 79.1% year over year. It earns a return on equity of 166.4%. Net debt stands at ₹3.8M. Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹1.85 (bear case) to ₹8.88 (bull case); at ₹6.50, the current price sits within 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 16% below its 52-week high and 78% above its 52-week low, currently above its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at -6% fair-value upside, at -38%, OROSMITHS screens richer 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 12 models by family
Widest divergence: Growth Earnings (₹257.73) versus Dividend Discount (₹0.0800). Highest evidence: Residual Income (76).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 51 · Market factors (momentum, volatility) 76
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
Orosil Smiths India Limited manufactures, fabricates, purchases, trades/deals in, and sells various gold, silver, silver ornaments/utensils, and other items of gold, silver, and allied business in India.
Full company description
Orosil Smiths India Limited manufactures, fabricates, purchases, trades/deals in, and sells various gold, silver, silver ornaments/utensils, and other items of gold, silver, and allied business in India. It provides rings, earrings, pendants, bracelets, necklaces, bangles, hathpools, tiaras, kalgis, anklets, and gold and silver coins, as well as gold and silver solitaire rings, pendants, and earrings. The company offers its products under the Kuhjohl and Sincere brand names for semi-precious and precious stones studded in gold and silver. It sells its jewelry through its website, orosil.com. The company was formerly known as Silver Smith India Limited and changed its name to Orosil Smiths India Limited in September 2012. Orosil Smiths India Limited was incorporated in 1994 and is based in Noida, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
OROSIL SMITHS INDIA LTD.-$ reported revenue of ₹26.5M in FY2026 versus ₹9.4M in FY2022, a compound +29.6%/yr. Reported net income was ₹229M in FY2026.
OROSMITHS screens 38% overvalued. Compare with Compagnie Financière Richemont SA →
Peer Group
Luxury Goods · 136 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 Luxury Goods 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.
VALUE 0: the price sits above our fair-value range.
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 Luxury Goods stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Compagnie Financière Richemont SA CFR | CHF 185.45 | CHF 118.46 | -36% |
| Christian Dior SE DIO | €423.60 | €1,095 | +159% |
| Kering SA KER | €270.60 | €56.23 | -79% |
| Tapestry, Inc TPR | $153.74 | $19.95 | -87% |
| Chow Tai Fook Jewellery Group 1929 | HK$12.31 | HK$11.51 | -6% |
| Prada S.p.A 1913 | HK$42.22 | HK$64.07 | +52% |
| Pandora A/S PNDORA | kr 771.40 | kr 1,424 | +85% |
| Laopu Gold Co 6181 | HK$359.20 | HK$544.05 | +51% |
| Kalyan Jewellers India Limited KALYANKJIL | ₹596.70 | ₹238.57 | -60% |
| Henan Liliang Diamond Co 301071 | ¥60.38 | ¥9.24 | -85% |
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Frequently asked questions
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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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