Amara Raja Energy & Mobility Limited Valuation

ARE&M · Automobile and Auto Components · Current price ₹741.95

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DocStoX fair value
₹1,578
medium confidence · 59/100
Current price
₹814
Upside to fair value
+93.9%
Estimate range
₹1,420 – ₹1,735
P/E ratio
14.5x
P/B ratio
1.7x
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Is Amara Raja Energy & Mobility Limited undervalued?

We estimate the fair value of Amara Raja Energy & Mobility Limited at ₹1,578 per share, against a market price of ₹814. That puts the share price about +93.9% 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) (₹1,578). 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 Amara Raja Energy & Mobility Limited spans ₹1,420 to ₹1,735. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Valuation multiples

Amara Raja Energy & Mobility Limited trades at a P/E of 14.5x and a P/B of 1.7x, with a dividend yield of 1.4%. 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 Amara Raja Energy & Mobility Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence59/100

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

Estimate range ₹1,420 – ₹1,735

Why this method for this business

The company operates in the auto components sector, which is cyclical. Normalized earnings and EV/EBITDA are appropriate for capturing mid-cycle earnings power and capital efficiency. Relative PE is used to benchmark against sector peers.

The models behind the number

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

Fair multiple (P/E)
₹1,57825% weight
Normalized earnings (mid-cycle EV/EBITDA)(not enough data)

required inputs missing

EV / EBITDA(not enough data)

required inputs missing

  • DCF is not suitable for a cyclical business with volatile cash flows
  • Book value is not relevant for an asset-light, earnings-driven business
  • Normalized EPS is not directly applicable due to the cyclical nature of the industry

What was missing

  • Lack of forward EPS estimates for precise valuation
  • Limited analyst coverage affecting multiple benchmarking

What drives it

15 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
30.71×

peer-median

Peers used
29

peer-median

EPS (TTM)
53.5 ₹/share

computed

Own-history median P/E
15.36×

reconstructed (one feature, dampened — not a cap)

JudgementOur read of the evidence, not a measurement.
Term: quality
-0.6%

quality 54/100 (about average) → neutral

Term: growth
+9.6%

durable ~10% CAGR (ROCE 22% > hurdle) → premium

Term: capital_allocation
-5.5%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+8.4%

financial strength: effectively debt-free → premium

Term: history
-15.0%

history: market paid -50% 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
-4.0%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
70%

data completeness + term agreement

Fair P/E
29.49×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Amara Raja Energy & Mobility 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

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