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GTN Industries Limited (500170) Fair Value & Analysis

Industrial Goods · IN · Market cap ₹129M

GI GTN Industries Limited 500170 · BSE
Price₹21.21
Fair Value₹9.75
Upside-54.0%
Quality48/100
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Evidence: Low Range ₹6.43 – ₹12.18

Fair value as of: Jul 4, 2026

From 1 valuation models · updated today

Share price −13.2% over the past month.

Price vs Fair Value (12 months)

₹28.46 ₹18.76 Fair Value ₹9.75 Jul 2025 Jul 2026

12‑month range ₹18.76 – ₹28.46 · fair‑value band ₹6.43 – ₹12.18 · the ₹21.21 price screens above the ₹9.75 fair value. As of Jul 4, 2026.

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Analysis

GTN Industries Limited (500170) currently trades at ₹21.21, while our model-based Fair Value estimate is ₹9.75 — implying the stock looks roughly 54.0% overvalued today. We read business quality at 48/100 (below-average quality), in the Industrial 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: low).

Over the trailing twelve months, GTN Industries Limited generated revenue of ₹3.0B at a net margin of -2.6%. Revenue declined 51.0% year over year. Net debt stands at ₹344M. Fundamentals as of Jul 4, 2026

Key figures & financial health

Revenue (TTM) ₹3.0B
Revenue growth (YoY) -51.0%
Net margin -2.6%
Free cash flow −₹58.0M FY2026
Operating margin 1.6%
EPS (TTM) ₹-3.10
More key figures
Net debt ₹344M FY2026

Figures from reported company fundamentals (EODHD) · as of Jul 4, 2026. TTM = trailing twelve months.

About the company

GTN Industries Limited manufactures and sells cotton yarn in India. The company offers medium, fine, and superfine combed yarn. It also exports its cotton yarn to Europe and Asian countries. The company was incorporated in 1962 and is based in Hyderabad, India.

Revenue & earnings trend

FY2022 – FY2026 · reported fiscal years

GTN Industries Limited reported revenue of ₹1.6B in FY2026 versus ₹4.8B in FY2022, a compound −24.0%/yr. Reported net income was −₹107M in FY2026.

Revenue −24.0%/yr
FY22 ₹4.8B
FY23 ₹3.1B
FY24 ₹1.9B
FY25 ₹1.7B
FY26 ₹1.6B
Net income
FY22 ₹347M
FY23 ₹156M
FY24 −₹63.2M
FY25 −₹46.4M
FY26 −₹107M

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Similar stocks

6 more Textile Industrial stocks, each showing price versus our Fair Value estimate (as of Jul 4, 2026).

Stock Price Fair Value vs Fair Value
Raymond Limited 500330 ₹607.15 ₹731.08 +20%
Sat Industries Limited 511076 ₹130.90 ₹70.49 -46%
Banswara Syntex Limited 503722 ₹133.00 ₹232.06 +74%
Mafatlal Industries Limited 500264 ₹141.30 ₹68.42 -52%
Loyal Textile Mills Limited 514036 ₹233.25 ₹220.37 -6%
Pasupati Acrylon Limited 500456 ₹64.12 ₹63.81 -0%

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Frequently asked questions

Is GTN Industries Limited (500170) undervalued?
As of Jul 4, 2026, our model estimates a fair value of ₹9.75 versus a price of ₹21.21 — about −54% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 500170?
Our model-based fair value for GTN Industries Limited is ₹9.75 (as of Jul 4, 2026), built from audited fundamentals. The current price is ₹21.21.
What is the quality score of 500170?
GTN Industries Limited has a Quality Score of 48/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.
What is the revenue of GTN Industries Limited (500170)?
GTN Industries Limited reported trailing-twelve-month revenue of about ₹3.0B (latest available figure, as of Jul 4, 2026).
What is the net profit margin of 500170?
The net profit margin of GTN Industries Limited is about -2.6%, meaning it is currently running at a net loss. Based on the latest reported figures.

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.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.