Afcons Infrastructure Limited Intrinsic Value

AFCONS · Construction · Current price ₹244.7

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DocStoX fair value
₹105
medium confidence · 56/100
Current price
₹254
Upside to fair value
-58.6%
Estimate range
₹92 – ₹115
Quality score
2.2 / 10
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Is Afcons Infrastructure Limited undervalued?

We estimate the fair value of Afcons Infrastructure Limited at ₹105 per share, against a market price of ₹254. That puts the share price about -58.6% above 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: Discounted cash flow (2-stage) (₹111), Fair multiple (P/E) (₹92). 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 Afcons Infrastructure Limited spans ₹92 to ₹115. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Margin of safety

Value investors look for a margin of safety: a discount to estimated value that absorbs being wrong. At ₹254 against an estimated value of ₹105, Afcons Infrastructure Limited trades at -58.6%, i.e. a premium to our estimate. How much margin to demand depends on how much you trust the inputs, which is what the confidence band below is for.

How we got this fair value

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

Medium confidence56/100

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

Estimate range ₹92 – ₹115

Why this method for this business

The DCF model is appropriate for a capital-intensive construction company with a clear cash flow generation potential, while the relative PE model captures market sentiment and peer valuation dynamics.

The models behind the number

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

Discounted cash flow (2-stage)
₹11170% weight

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

Fair multiple (P/E)
₹9230% weight
  • ev_ebitda is not used due to lack of reliable EBITDA multiples for construction firms in the current market environment

What was missing

  • Lack of historical P/E multiples for the construction sector
  • Limited analyst coverage for smallcap stocks

What drives it

26 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
330 ₹cr

fcf_norm (median ≤5y positive)

Net debt
3,241.3 ₹cr

total_debt − cash

Sector-median P/E
21.55×

peer-median

Peers used
28

peer-median

EPS (TTM)
3.94 ₹/share

computed

MacroEconomy-wide input, not company-specific.
Discount rate (r)
14.4%

COE (building-block)

Beta
1

bottom-up industry

AssumptionA forward input the model chose. Reasonable people can disagree here.
Stage-1 start growth
8.1%

pat_cagr_5y

Fade shape
linear

lifecycle Mature

Terminal growth (g)
5%

macro terminal × quality premium

Stage-1 years
8 y

lifecycle Mature horizon

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

forecast engine (L20)

Quality premium
1×

moat None + capital allocation

Term: quality
-2.8%

quality 49/100 (weak/erratic returns) → discount

Term: growth
-3.7%

weak ~7% CAGR (ROCE 19% > hurdle) → discount

Term: capital_allocation
+10.7%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+2.8%

financial strength: low leverage (D/E 0.7) → mild premium

Term: history
+0.0%

history: no reliable own-history P/E → not used

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
0.512

PV_TV / (PV_1+PV_TV)

Premium vs sector
+7.9%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
54%

data completeness + term agreement

Fair P/E
23.25×

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

Who computed this

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

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