Astral Limited Valuation

ASTRAL · Capital Goods · Current price ₹1,427.4

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DocStoX fair value
₹1,607
medium confidence · 62/100
Current price
₹1,411
Upside to fair value
+13.9%
Estimate range
₹1,447 – ₹1,768
P/E ratio
71.5x
P/B ratio
9.7x
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Is Astral Limited undervalued?

We estimate the fair value of Astral Limited at ₹1,607 per share, against a market price of ₹1,411. That puts the share price about +13.9% 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) (₹1,607). 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 Astral Limited spans ₹1,447 to ₹1,768. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Valuation multiples

Astral Limited trades at a P/E of 71.5x and a P/B of 9.7x, with a dividend yield of 0.3%. 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 Astral Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence62/100

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

Estimate range ₹1,447 – ₹1,768

Why this method for this business

Astral operates in the capital goods sector, which is capital-intensive and cyclical. A relative P/E model is appropriate for capturing the market's valuation of its earnings power, while EV/EBITDA provides a more stable valuation metric for its capital structure and cash flow generation.

The models behind the number

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

Fair multiple (P/E)
₹1,60770% weight
EV / EBITDA(not enough data)

required inputs missing

  • dcf: Not suitable for a cyclical capital goods business where cash flows are volatile and growth assumptions are uncertain
  • relative_pe: Already used as the primary model, but EV/EBITDA is added for cross-validation

What was missing

  • Lack of forward-looking EBITDA and EPS data for precise EV/EBITDA modeling
  • Limited analyst coverage for cross-validation

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
42.35×

peer-median

Peers used
5

peer-median

EPS (TTM)
21.43 ₹/share

computed

Own-history median P/E
97.95×

reconstructed (one feature, dampened — not a cap)

JudgementOur read of the evidence, not a measurement.
Anchor correction
peer anchor 42.3x diverges 2.3x from 7yr own-history 98.0x (no size-comparable peer) — anchor blended 0.6 toward own-history → 75.7x

peer-anchor mismatch — deep own-history used instead

Term: quality
+7.8%

quality 71/100 (high, stable returns) → premium

Term: growth
+10.4%

durable ~11% CAGR (ROCE 23% > hurdle) → premium

Term: capital_allocation
+5.3%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+9.3%

financial strength: effectively debt-free → premium

Term: history
+8.8%

history: market paid +29% 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
-0.9%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
82%

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 Astral 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 Astral Limited

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