Fair Value Calculator Fair Value Calculator
EN DE

Bhilwara Technical Textiles Limited (533108) Fair Value & Analysis

Other · IN · Market cap ₹285M

BT Bhilwara Technical Textiles Limited 533108 · BSE
Price₹49.88
Fair Value₹34.77
Upside-30.3%
Quality49/100
Watch Bhilwara Technical Textiles Limited for free — get notified when fair value or trend changes. Watch for free
Evidence: Low Range ₹22.95 – ₹43.47

Fair value as of: Jul 4, 2026

From 1 valuation models · updated today

Share price +37.0% over the past month.

Price vs Fair Value (12 months)

₹59.17 ₹31.50 Fair Value ₹34.77 Jul 2025 Jul 2026

12‑month range ₹31.50 – ₹59.17 · fair‑value band ₹22.95 – ₹43.47 · the ₹49.88 price screens above the ₹34.77 fair value. As of Jul 4, 2026.

✦ Which stocks are undervalued right now? Check free Discover now →

Analysis

Bhilwara Technical Textiles Limited (533108) currently trades at ₹49.88, while our model-based Fair Value estimate is ₹34.77 — implying the stock looks roughly 30.3% overvalued today. We read business quality at 49/100 (below-average quality), in the Other 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).

Key figures & financial health

Free cash flow −₹17.8M FY2026
EPS (TTM) ₹-0.6369
Net debt ₹300K FY2022

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

About the company

Bhilwara Technical Textiles Limited engages in the textile business in India. The company was incorporated in 2007 and is based in Noida, India.

Revenue & earnings trend

FY2022 – FY2026 · reported fiscal years

Bhilwara Technical Textiles Limited reported revenue of ₹269M in FY2026 versus ₹195M in FY2022, a compound +8.4%/yr. Reported net income was −₹112M in FY2026.

Revenue +8.4%/yr
FY22 ₹195M
FY23 ₹125M
FY24 ₹144M
FY25 ₹82.0M
FY26 ₹269M
Net income
FY22 ₹173M
FY23 −₹40.7M
FY24 ₹129M
FY25 ₹73.0M
FY26 −₹112M

Is 533108 fairly valued? → Check now

Similar stocks

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

Stock Price Fair Value vs Fair Value
There MOH €521.90 €269.92 -48%
Sony Corporation SON1 €17.58 €37.56 +114%
Federal Home Loan Mortgage Corporation FREJO $16.84 $64.93 +286%
533278 533278 ₹438.60 ₹720.31 +64%
Nestl?? India Limited 500790 ₹1,459 ₹279.60 -81%
540376 540376 ₹3,993 ₹1,806 -55%

Explore undervalued stocks

All undervalued stocks TechnologyFinancial ServicesHealthcareConsumer CyclicalConsumer DefensiveCommunication ServicesIndustrialsEnergyBasic MaterialsReal EstateUtilities Deeply Undervalued StocksUndervalued Blue-Chip StocksUndervalued Small-Cap Stocks

Frequently asked questions

Is Bhilwara Technical Textiles Limited (533108) undervalued?
As of Jul 4, 2026, our model estimates a fair value of ₹34.77 versus a price of ₹49.88 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 533108?
Our model-based fair value for Bhilwara Technical Textiles Limited is ₹34.77 (as of Jul 4, 2026), built from audited fundamentals. The current price is ₹49.88.
What is the quality score of 533108?
Bhilwara Technical Textiles Limited has a Quality Score of 49/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.
What is the net profit margin of 533108?
The net profit margin of Bhilwara Technical Textiles Limited is about 0.0%, meaning it keeps roughly 0.0% of revenue as net income. 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.