Bajaj Auto Limited DCF Valuation

BAJAJ-AUTO · Automobile and Auto Components · Current price ₹10,405

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DocStoX fair value
₹13,659
medium confidence · 61/100
Current price
₹11,678
Upside to fair value
+17.0%
Estimate range
₹12,293 – ₹15,025
5Y profit growth
+16.8%
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Bajaj Auto Limited cash-flow valuation

Our engine did not use a discounted-cash-flow model for Bajaj Auto Limited. It routes each business to the methods that suit it, and a DCF is a poor lens where cash-flow forecasts are fragile or the business is capital-structure driven. The methods it did use, and why, are set out below. Our published estimate is ₹13,659.

Try your own assumptions

Prefer to build the discounted cash flow yourself? The DCF calculator below opens pre-filled with Bajaj Auto Limited's reported free cash flow, net debt and share count, so you can set your own growth and discount rate.

How we got this fair value

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

Medium confidence61/100

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

Estimate range ₹12,293 – ₹15,025

Why this method for this business

Bajaj Auto is a cyclical business with strong mid-cycle earnings power and a durable moat in the two-wheeler segment. Normalized earnings and EV/EBITDA are the most appropriate models for valuing a cyclical business with strong cash flow generation.

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)
₹13,60060% weight

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

Fair multiple (P/E)
₹14,08010% weight
EV / EBITDA(not enough data)

required inputs missing

  • DCF is not suitable for a cyclical business with volatile earnings
  • Book-value residual income is not appropriate for an asset-light, earnings-driven business

What was missing

  • Lack of analyst dispersion data for P/E normalization
  • Limited forward estimates for EV/EBITDA normalization

What drives it

23 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Revenue (TTM)
62,905 ₹ cr

computed

Net debt
22,713 ₹ cr

computed

Shares outstanding
27,95,08,407

computed

Sector-median P/E
17.1×

peer-median

Peers used
3

peer-median

EPS (TTM)
420.8 ₹/share

computed

Own-history median P/E
21.87×

reconstructed (one feature, dampened — not a cap)

AssumptionA forward input the model chose. Reasonable people can disagree here.
EBITDA margin (cycle median)
19%

computed (≤5y median)

Through-cycle EV/EBITDA
33.71×

own-history (median of 3y)

JudgementOur read of the evidence, not a measurement.
Term: quality
+14.1%

quality 83/100 (high, stable returns) → premium

Term: growth
+37.2%

durable ~17% CAGR (ROCE 30% > hurdle) → premium

Term: capital_allocation
+3.5%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+10.0%

financial strength: effectively debt-free → premium

Term: history
+8.4%

history: market paid +28% 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
11,952 ₹ cr

computed

Enterprise value
4,02,845.3 ₹ cr

computed

Net debt basis
gross (cash unavailable)

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

Premium vs sector
+95.7%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
79%

data completeness + term agreement

Fair P/E
33.46×

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

Who computed this

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

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