Shri Jagdamba Polymers Limited (512453) Fair Value & Analysis
Consumer Goods · IN · Market cap ₹2.5B
Fair value as of: Aug 13, 2026
From 16 valuation models · updated 5 days ago
A solid business, but screening 27% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹662.72). The favourable scenario is already priced in.
- Solid but not exceptional quality (50/100) and above fair value, neither a clear bargain nor a standout compounder.
- A fairly wide model range (₹301.77 to ₹662.72) 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 13, 2026.
How to read this chart
60‑month range ₹457.91 – ₹1,673 · fair‑value band ₹301.77 – ₹662.72 · the ₹698.20 price screens above the ₹509.79 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Shri Jagdamba Polymers Limited (512453) currently trades at ₹698.20, while our model-based Fair Value estimate is ₹509.79, implying the stock looks roughly 27.0% overvalued today. The Quality Score stands at 50/100 (solid quality), in the Consumer Goods 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: high).
Over the trailing twelve months, Shri Jagdamba Polymers Limited generated revenue of ₹1.9B at a net margin of 14.8%. Revenue declined 28.6% year over year. Net debt stands at ₹613M. The stock trades on a trailing P/E of 10.0 (as of Jul 4, 2026). Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹301.77 (bear case) to ₹662.72 (bull case); at ₹698.20, the current price sits above 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 40% below its 52-week high and 40% above its 52-week low. For context, the median of 10 Consumer Goods peers we cover trades at -23% fair-value upside, at -27%, 512453 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 16 models by family
Widest divergence: Growth Earnings (₹725.74) versus Dividend Discount (₹11.34). 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 49 · Market factors (momentum, volatility) 34
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
Shri Jagdamba Polymers Limited engages in the manufacture and sale of woven polypropylene/polyethylene and non-woven fabrics in India. It also offers PP/PE woven bags and fabrics, flexible intermediate bulk containers, box bags, and lumber covers.
Full company description
Shri Jagdamba Polymers Limited engages in the manufacture and sale of woven polypropylene/polyethylene and non-woven fabrics in India. It also offers PP/PE woven bags and fabrics, flexible intermediate bulk containers, box bags, and lumber covers. In addition, the company provides silt fence, a black color woven fabric used in the construction industry; geotextile, a polypropylene woven fabric; and groundcover, a black woven polypropylene fabric, which is used under the ground for weed control. Further, it generates wind power. The company also exports its products to the United States, Europe, and internationally. Shri Jagdamba Polymers Limited was founded in 1985 and is based in Ahmedabad, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Shri Jagdamba Polymers Limited reported revenue of ₹4.3B in FY2026 versus ₹3.7B in FY2022, a compound +4.0%/yr. Reported net income was ₹373M in FY2026, compounding −7.6%/yr from FY2022.
512453 screens 27% overvalued. Compare with Stora Enso Oyj →
Peer Group
Packaging & Containers · 272 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 Packaging & Containers 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 Packaging & Containers stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
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| PT Fajar Surya Wisesa Tbk, FASW | 5,312 IDR | 1,193 IDR | -78% |
| Taiwan Hon Chuan Enterprise Co 9939 | 134.00 TWD | 127.06 TWD | -5% |
| Time Technoplast Limited TIMETECHNO | ₹208.56 | ₹161.42 | -23% |
| EPL Limited 500135 | ₹247.30 | ₹111.65 | -55% |
| Polyplex Corporation 524051 | ₹1,211 | ₹924.62 | -24% |
| Dongwon Systems Corporation 014820 | 21,650 KRW | 31,473 KRW | +45% |
| PT Panca Budi Idaman Tbk, PBID | 525.00 IDR | 774.13 IDR | +47% |
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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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