Finolex Cables Limited Valuation

FINCABLES · Capital Goods · Current price ₹1,365.1

Full stock page
DocStoX fair value
₹1,887
medium confidence · 65/100
Current price
₹1,424
Upside to fair value
+32.5%
Estimate range
₹1,699 – ₹2,076
P/E ratio
29.3x
P/B ratio
3.6x
Model it yourself — Earnings Yield Calculator
Opens pre-filled with Finolex Cables Limited's latest numbers.

Is Finolex Cables Limited undervalued?

We estimate the fair value of Finolex Cables Limited at ₹1,887 per share, against a market price of ₹1,424. That puts the share price about +32.5% below our estimate, at medium confidence. This is our view of what the business is worth, not a target price or a forecast of where the share price will go.

How this fair value is calculated

This estimate comes from 1 method: Fair multiple (P/E) (₹1,887). Each is weighted by how well its inputs held up for this company. The full working, including the assumptions and what data was missing, is set out below.

The range around this estimate

Our estimate for Finolex Cables Limited spans ₹1,699 to ₹2,076. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Valuation multiples

Finolex Cables Limited trades at a P/E of 29.3x and a P/B of 3.6x, with a dividend yield of 0.6%. Multiples are most useful compared against the company's own history and its sector peers — see the peer comparison for context.

How we got this fair value

Every number below is part of the same estimate for Finolex Cables Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence65/100

Workable, with real gaps. Weigh it alongside your own view rather than on its own.

Estimate range ₹1,699 – ₹2,076

Why this method for this business

Finolex Cables is a capital-intensive business with durable earnings power and a strong moat, making the relative P/E and EV/EBITDA models appropriate. These models align with its industry characteristics and provide a robust valuation framework.

The models behind the number

Each method is weighted by how well its inputs held up for this company.

Fair multiple (P/E)
₹1,88770% weight
EV / EBITDA(not enough data)

required inputs missing

  • dcf: Not suitable for a capital-heavy business with uncertain cash flows
  • relative_pe: Not used as the primary model due to the need for a more comprehensive valuation approach

What was missing

  • Lack of forward-looking analyst estimates for EBITDA and EPS
  • Limited data on capital allocation and financial strength

What drives it

16 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
51.8×

peer-median

Peers used
7

peer-median

EPS (TTM)
52.31 ₹/share

computed

Own-history median P/E
16.64×

reconstructed (one feature, dampened — not a cap)

JudgementOur read of the evidence, not a measurement.
Anchor correction
peer anchor 51.8x diverges 0.3x from 7yr own-history 16.6x (no size-comparable peer) — anchor blended 0.6 toward own-history → 30.7x

peer-anchor mismatch — deep own-history used instead

Term: quality
+4.2%

quality 63/100 (high, stable returns) → premium

Term: growth
+22.2%

durable ~14% CAGR (ROCE 20% > hurdle) → premium

Term: capital_allocation
-2.7%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+8.7%

financial strength: effectively debt-free → premium

Term: history
-13.7%

history: market paid -46% vs sector, dampened ×0.3 (one feature, not the anchor)

Term: sector_rerating
+0.0%

sector re-rating: no sector-norm history → not used

Term: rate_regime
+1.2%

rates: risk-free 6.9% below ~7.1% normal → higher multiple

Term: risk
+0.0%

risk: no analyst-dispersion signal available → neutral (lowers confidence, not PE)

DerivedFalls out of the inputs above: a model output, not an independent input.
Premium vs sector
+17.5%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
74%

data completeness + term agreement

Fair P/E
36.08×

sector median × ∏(1+term) — Dynamic Fair Multiple

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Finolex Cables Limited: which models suit the business, the moat, the growth and margin assumptions. It does not produce the number. The fair value itself is computed in Python by a deterministic engine (version 2026.08.1) from those inputs, so the same inputs always give the same result and every figure above can be traced to a source.

Estimated 14 Sept 2026. Re-run as new financials and news arrive.

How we value stocks

We estimate what a business is worth from its own economics: cash flows, returns on capital, and a multiple justified by its quality, rather than from where the share price has been. A fair value estimate is a view, not a verdict, and it is only as good as the inputs listed above.

Read the full fair-value methodology

Understand the ratios

More on Finolex Cables Limited

DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.