KDDL Limited Valuation

KDDL · Consumer Durables · Current price ₹3,824.5

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DocStoX fair value
₹3,477
medium confidence · 58/100
Current price
₹3,882
Upside to fair value
-10.4%
Estimate range
₹2,086 – ₹3,953
P/E ratio
53.4x
P/B ratio
4.4x
Model it yourself — Earnings Yield Calculator
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Is KDDL Limited undervalued?

We estimate the fair value of KDDL Limited at ₹3,477 per share, against a market price of ₹3,882. That puts the share price about -10.4% above 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 2 methods: Fair multiple (P/E) (₹3,953), PEG (growth-implied P/E) (₹1,624). 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 KDDL Limited spans ₹2,086 to ₹3,953. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Valuation multiples

KDDL Limited trades at a P/E of 53.4x and a P/B of 4.4x, 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 KDDL Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence58/100

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

Estimate range ₹2,086 – ₹3,953

Why this method for this business

Relative P/E and PEG are appropriate for an asset-light, branded consumer franchise with durable earnings power and a narrow moat. DCF is not suitable due to the lack of clear cash flow patterns and the high sensitivity to growth assumptions.

The models behind the number

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

Fair multiple (P/E)
₹3,95370% weight
PEG (growth-implied P/E)
₹1,62430% weight
  • dcf: Not suitable for a consumer discretionary business with erratic cash flow and high growth assumptions

What was missing

  • Lack of detailed peer data for precise multiple benchmarking
  • Limited forward-looking data on growth and margin trends

What drives it

18 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
16.46×

peer-median

Peers used
14

peer-median

EPS (TTM)
78.9 ₹/share

computed

Own-history median P/E
34.23×

reconstructed (one feature, dampened — not a cap)

Earnings growth
20.6% CAGR

computed

JudgementOur read of the evidence, not a measurement.
Anchor correction
peer anchor 16.5x diverges 2.1x from 6yr own-history 34.2x (no size-comparable peer) — anchor blended 0.6 toward own-history → 27.1x

peer-anchor mismatch — deep own-history used instead

Term: quality
+1.4%

quality 58/100 (about average) → neutral

Term: growth
+40.0%

durable ~56% CAGR (ROCE 14% > hurdle) → premium

Term: capital_allocation
+12.3%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+6.2%

financial strength: low leverage (D/E 0.4) → mild premium

Term: history
+7.9%

history: market paid +26% 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
+84.7%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
87%

data completeness + term agreement

Fair P/E
50.1×

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

Growth-implied P/E
20.6×

min(growth, 30)

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for KDDL 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 15 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 KDDL Limited

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