Endurance Technologies Limited Fair Value

ENDURANCE · Automobile and Auto Components · Current price ₹2,410

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DocStoX fair value
₹3,857
medium confidence · 65/100
Current price
₹2,693
Upside to fair value
+43.2%
Estimate range
₹3,471 – ₹4,242
Quality score
5.3 / 10
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Is Endurance Technologies Limited undervalued?

We estimate the fair value of Endurance Technologies Limited at ₹3,857 per share, against a market price of ₹2,693. That puts the share price about +43.2% 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 2 methods: Normalized earnings (mid-cycle EV/EBITDA) (₹3,820), Fair multiple (P/E) (₹3,930). 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 Endurance Technologies Limited spans ₹3,471 to ₹4,242. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

How we got this fair value

Every number below is part of the same estimate for Endurance Technologies 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 ₹3,471 – ₹4,242

Why this method for this business

Normalized earnings and relative PE are the most appropriate models for a cyclical business like auto components, where mid-cycle earnings and sector multiples are key valuation drivers.

The models behind the number

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

Normalized earnings (mid-cycle EV/EBITDA)
₹3,82070% weight

Cyclical valued off mid-cycle earnings and a through-cycle EV/EBITDA (§6.6)

Fair multiple (P/E)
₹3,93030% weight
  • ev_ebitda was excluded due to insufficient data quality and lack of clear EBITDA normalization basis

What was missing

  • lack of forward EPS estimates
  • limited analyst coverage
  • insufficient EBITDA normalization basis

What drives it

23 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Revenue (TTM)
14,596 ₹ cr

computed

Net debt
1,327 ₹ cr

computed

Shares outstanding
14,06,93,885

computed

Sector-median P/E
41.03×

peer-median

Peers used
16

peer-median

EPS (TTM)
68.95 ₹/share

computed

Own-history median P/E
33.43×

reconstructed (one feature, dampened — not a cap)

AssumptionA forward input the model chose. Reasonable people can disagree here.
EBITDA margin (cycle median)
13%

computed (≤5y median)

Through-cycle EV/EBITDA
29.02×

own-history (median of 5y)

JudgementOur read of the evidence, not a measurement.
Term: quality
+3.1%

quality 68/100 (high, stable returns) → premium (ROCE deteriorating → premium halved)

Term: growth
+28.5%

durable ~15% CAGR (ROCE 18% > hurdle) → premium

Term: capital_allocation
-0.3%

capital allocation: steady → neutral

Term: financial_strength
+10.0%

financial strength: effectively debt-free → premium

Term: history
-5.5%

history: market paid -19% 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.
Mid-cycle EBITDA
1,897.5 ₹ cr

computed

Enterprise value
55,069.6 ₹ cr

computed

Net debt basis
gross (cash unavailable)

note: net debt approximated by gross debt (cash unavailable)

Premium vs sector
+38.9%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
83%

data completeness + term agreement

Fair P/E
57×

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

Who computed this

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

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