Jindal Saw Limited (JINDALSAW) Fair Value & Analysis

Basic Materials · IN · Market cap ₹168B

Below-average quality, and screening another 22% overvalued on our models.

What matters now

• Weak quality (43/100) and above fair value at the same time, the margin of safety is missing on both counts.
• A fairly wide model range (₹155.58 to ₹324.39) 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 ₹34.94 – ₹367.06 · fair‑value band ₹155.58 – ₹324.39 · the ₹270.40 price screens above the ₹211.35 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Aug 13, 2026.

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Analysis

Jindal Saw Limited (JINDALSAW) currently trades at ₹270.40, while our model-based Fair Value estimate is ₹211.35, implying the stock looks roughly 21.8% overvalued today. The Quality Score stands at 43/100 (below-average quality), in the Basic Materials 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, Jindal Saw Limited generated revenue of ₹179B at a net margin of 5.4%. Revenue declined 8.2% year over year. It earns a return on equity of 8.0%. Net debt stands at ₹41.5B. Fundamentals as of Aug 13, 2026

Our scenario range runs from ₹155.58 (bear case) to ₹324.39 (bull case); at ₹270.40, 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 near its 52-week high and 78% above its 52-week low, currently above its 200-day average. For context, the median of 10 Basic Materials peers we cover trades at -22% fair-value upside, at -22%, JINDALSAW 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.

Widest divergence: Multiples (₹259.51) versus Dividend Discount (₹32.09). Highest evidence: Growth DCF (80).

Key figures & financial health

Quality Score breakdown

About the company

Jindal Saw Limited engages in the manufacture and supply of iron and steel pipes, and pellets in India and internationally.

Full company description

Jindal Saw Limited engages in the manufacture and supply of iron and steel pipes, and pellets in India and internationally. The company offers SAW pipes, such as double jointing, connector casings, hot pulled induction bends, monel sheating and anodes installation, post weld heat treatment, eddy current testing, and clad, as well as external and internal coatings, and line pipes; centrifugal casted pipes, including push up joint, double chamber restrained joint, and flanged pipes, as well as ductile iron fittings; and carbon/alloy steel seamless pipes and tubes comprising oil country tubular goods, flow line pipes, boiler pipes and tubes, and automotive tubes. It also provides stainless steel seamless and welded pipes and tubes, such as hydraulic and instrumentation tubing, condenser, heat exchanger, U-bends, coil tubing, and seamless pipes, as well as hollows and hollow bars; and welded and UHP pipes. The company operates iron ore mine and pellet plant. It also provides precision stainless steel strips and nickel alloys for use in the production of textile machinery, clocks, watches, and electrical equipment; anti corrosion and protective coating with fittings, bends, and flanges; double chamber pipes; polyurethane coated pipes; rust-free iron pipes; cold rolled strip products; transhipment and waterborne transportation services; advisory services; helical anchor manufacturing and property holding services; and tools and fittings products. The company engages in the provision of inland shipping; business process outsourcing services comprising call center, back office, and other support offices; and information technology (IT) services, including software development and support, IT maintenance, and other development services. Its products have applications in oil and gas exploration, transportation, power generation, supply of water for drinking, drainage, irrigation, and other industries. The company was incorporated in 1984 and is based in New Delhi, India.

Company description, as reported by the company or data provider.

Revenue & earnings trend

FY2022 – FY2026 · reported fiscal years

Jindal Saw Limited reported revenue of ₹179B in FY2026 versus ₹133B in FY2022, a compound +7.7%/yr. Reported net income was ₹9.7B in FY2026, compounding +24.0%/yr from FY2022.

JINDALSAW screens 22% overvalued. Compare with JSW Steel Limited →

Peer Group

Steel · 380 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 Steel 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.

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Frequently asked questions

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.