Avenue Supermarts Limited Intrinsic Value

DMART · Consumer Services · Current price ₹3,342

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DocStoX fair value
₹3,520
medium confidence · 67/100
Current price
₹3,688
Upside to fair value
-4.6%
Estimate range
₹3,168 – ₹3,873
Quality score
4.2 / 10
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Is Avenue Supermarts Limited undervalued?

We estimate the fair value of Avenue Supermarts Limited at ₹3,520 per share, against a market price of ₹3,688. That puts the share price about -4.6% 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 1 method: Fair multiple (P/E) (₹3,521). 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 Avenue Supermarts Limited spans ₹3,168 to ₹3,873. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Margin of safety

Value investors look for a margin of safety: a discount to estimated value that absorbs being wrong. At ₹3,688 against an estimated value of ₹3,520, Avenue Supermarts Limited trades at -4.6%, i.e. a premium to our estimate. How much margin to demand depends on how much you trust the inputs, which is what the confidence band below is for.

How we got this fair value

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

Medium confidence67/100

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

Estimate range ₹3,168 – ₹3,873

Why this method for this business

DMart is an asset-light compounder with durable earnings power and a wide moat, making relative PE and PEG the most appropriate models. DCF is not suitable due to the lack of clear discounting cash flows and the company's growth profile.

The models behind the number

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

Fair multiple (P/E)
₹3,52170% weight
PEG (growth-implied P/E)(rejected)
₹361

implied value is <0.2× the price (likely a data error)

  • dcf: Not suitable for an asset-light compounder with high growth and stable cash flows
  • peg: Used as a secondary check to validate the relative PE model

What was missing

  • Lack of detailed information on capital allocation and debt management
  • Limited analyst coverage for precise forward estimates

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
19.2×

peer-median

Peers used
4

peer-median

EPS (TTM)
46.94 ₹/share

computed

Own-history median P/E
108.89×

reconstructed (one feature, dampened — not a cap)

JudgementOur read of the evidence, not a measurement.
Anchor correction
peer anchor 19.2x diverges 5.7x from 7yr own-history 108.9x (no size-comparable peer) — anchor blended 0.6 toward own-history → 73.0x

peer-anchor mismatch — deep own-history used instead

Term: quality
+4.4%

quality 64/100 (high, stable returns) → premium

Term: growth
+40.0%

durable ~23% CAGR (ROCE 20% > hurdle) → premium

Term: capital_allocation
-10.9%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+3.8%

financial strength: effectively debt-free → premium

Term: history
+14.7%

history: market paid +49% 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
+2.7%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
75%

data completeness + term agreement

Fair P/E
75×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Avenue Supermarts 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

More on Avenue Supermarts Limited

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