Aurobindo Pharma Limited DCF Valuation

AUROPHARMA · Healthcare · Current price ₹1,666.9

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DocStoX fair value
₹705
low confidence · 45/100
Current price
₹1,680
Upside to fair value
-58.0%
Estimate range
₹340 – ₹1,070
Cash-flow model
₹340
Discounted cash flow (2-stage) · 70% weight
5Y profit growth
-8.1%
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Aurobindo Pharma Limited cash-flow valuation

Our discounted cash flow (2-stage) values Aurobindo Pharma Limited at ₹340 per share. Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path. It carries 70% of the weight in our published estimate of ₹705. A discounted cash flow is only as good as the cash-flow path it assumes, so the assumptions behind it are listed in full below.

Try your own assumptions

Prefer to build the discounted cash flow yourself? The DCF calculator below opens pre-filled with Aurobindo Pharma 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 Aurobindo Pharma Limited. Nothing here is a target price or a forecast of where the share price will go.

Low confidence45/100floor: no better than this

The inputs are thin or the models disagree sharply. This is our least reliable kind of estimate, so read the range rather than the single number.

Estimate range ₹340 – ₹1,070

Why this method for this business

Aurobindo Pharma is an asset-light compounder with durable moat and strong earnings power, making DCF and relative PE the most appropriate models. EV/EBITDA is less relevant due to the company's strong cash flow generation and low debt.

The models behind the number

These methods disagree materially, so the estimate is their plain midpoint rather than a weighted blend. The disagreement is itself the finding.

Discounted cash flow (2-stage)
₹340equal weight

Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path

Fair multiple (P/E)
₹1,070equal weight
  • ev_ebitda is less suitable for a compounder with strong earnings power and low debt

What was missing

  • Lack of analyst dispersion data for PE multiple
  • Limited forward EPS estimates for precise DCF modeling

What drives it

28 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
1,481 ₹cr

fcf_norm (median ≤5y positive)

Net debt
8,073 ₹cr

gross debt (cash n/a)

Sector-median P/E
36.65×

peer-median

Peers used
18

peer-median

EPS (TTM)
64.09 ₹/share

computed

Own-history median P/E
15.75×

reconstructed (one feature, dampened — not a cap)

MacroEconomy-wide input, not company-specific.
Discount rate (r)
13.28%

COE (building-block)

Beta
0.85

bottom-up industry

AssumptionA forward input the model chose. Reasonable people can disagree here.
Stage-1 start growth
5.36%

pat_cagr_5y

Fade shape
linear

lifecycle Mature

Terminal growth (g)
5.36%

macro terminal × quality premium

Stage-1 years
9 y

lifecycle Mature horizon

JudgementOur read of the evidence, not a measurement.
Lifecycle stage
Mature

forecast engine (L20)

Quality premium
1.072×

moat Narrow + capital allocation

Anchor correction
peer anchor 36.6x diverges 0.4x from 7yr own-history 15.8x (no size-comparable peer) — anchor blended 0.6 toward own-history → 24.1x

peer-anchor mismatch — deep own-history used instead

Term: quality
-5.1%

quality 45/100 (weak/erratic returns) → discount

Term: growth
-22.2%

weak ~-1% CAGR (ROCE 18% > hurdle) → discount

Term: capital_allocation
-4.4%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+8.2%

financial strength: low leverage (D/E 0.2) → mild premium

Term: history
-10.4%

history: market paid -35% 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.
Path
FCFE

computed (D/E vs 0.8)

Terminal-value fraction
0.521

PV_TV / (PV_1+PV_TV)

Premium vs sector
-30.8%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
81%

data completeness + term agreement

Fair P/E
16.69×

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

Who computed this

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

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