Pix Transmissions Limited (500333) Fair Value & Analysis
Consumer Goods · IN · Market cap ₹1.9B
Fair value as of: Aug 13, 2026
From 26 valuation models · updated 5 days ago
A solid business, but screening 39% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹1,792). The favourable scenario is already priced in.
- Solid but not exceptional quality (69/100) and above fair value, neither a clear bargain nor a standout compounder.
- A fairly wide model range (₹697.94 to ₹1,792) 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 ₹310.02 – ₹2,692 · fair‑value band ₹697.94 – ₹1,792 · the ₹1,886 price screens above the ₹1,143 fair value. Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Pix Transmissions Limited (500333) currently trades at ₹1,886, while our model-based Fair Value estimate is ₹1,143, implying the stock looks roughly 39.4% overvalued today. The Quality Score stands at 69/100 (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, Pix Transmissions Limited generated revenue of ₹3.0B at a net margin of 9.6%. Revenue declined 19.4% year over year. The stock trades on a trailing P/E of 9.1 (as of Jul 4, 2026). Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹697.94 (bear case) to ₹1,792 (bull case); at ₹1,886, 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 2% below its 52-week high and 54% above its 52-week low. For context, the median of 10 Consumer Goods peers we cover trades at -24% fair-value upside, at -39%, 500333 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 26 models by family
Widest divergence: Growth Earnings (₹1,406) versus Dividend Discount (₹88.77). Highest evidence: Growth DCF (80).
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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 68 · Market factors (momentum, volatility) 69
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
Pix Transmissions Limited manufactures and sells belts and related mechanical power transmissions products in India. The company offers ribbed/poly-V, timing/synchronous, banded, automotive, industrial, special construction, agriculture, lawn and garden, and V-belts; and PowerWare products, such as pulleys, couplings, and bespokes, as well as accessories, …
Full company description
Pix Transmissions Limited manufactures and sells belts and related mechanical power transmissions products in India. The company offers ribbed/poly-V, timing/synchronous, banded, automotive, industrial, special construction, agriculture, lawn and garden, and V-belts; and PowerWare products, such as pulleys, couplings, and bespokes, as well as accessories, including service kits, pulley and profile gauges, laser guided pulley alignment tools, belt length measurers, tension meters, poly-v belt wear gauges, and X'slit belt cutting tools. Its products used in ceramic, cement, oil and gas, power plant, wood, automotive, cold storage, leisure and sport, packaging, rice/flour mills, building and construction, agriculture, food processing, machine tools, paper pulp, and steel industries. It also exports its products. Pix Transmissions Limited was founded in 1981 and is based in Mumbai, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Pix Transmissions Limited reported revenue of ₹5.9B in FY2025 versus ₹4.0B in FY2021, a compound +10.2%/yr. Reported net income was ₹1.1B in FY2025, compounding +14.8%/yr from FY2021.
500333 screens 39% overvalued. Compare with Finolex Industries Limited →
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 Rubber & Plastics stocks, each showing price versus our Fair Value estimate (as of Aug 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Finolex Industries Limited 500940 | ₹158.35 | ₹162.97 | +3% |
| Nilkamal Limited 523385 | ₹1,854 | ₹1,228 | -34% |
| Shaily Engineering Plastics Limited 501423 | ₹3,431 | ₹1,637 | -52% |
| Rubfila International Limited 500367 | ₹68.85 | ₹96.62 | +40% |
| International Conveyors Limited 509709 | ₹73.86 | ₹56.24 | -24% |
| Machino Plastics Limited 523248 | ₹269.40 | ₹43.10 | -84% |
| Polylink Polymers (India) Limited 531454 | ₹22.23 | ₹9.41 | -58% |
| Eastern Treads Limited 531346 | ₹30.30 | ₹3.27 | -89% |
| Krypton Industries Limited 523550 | ₹36.95 | ₹35.73 | -3% |
| Kunststoffe Industries Limited 523594 | ₹19.59 | ₹35.60 | +82% |
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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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