Ceigall India Limited Fair Value

CEIGALL · Construction · Current price ₹392.2

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DocStoX fair value
₹318
low confidence · 45/100
Current price
₹380
Upside to fair value
-16.4%
Estimate range
₹159 – ₹350
Quality score
5.5 / 10
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Is Ceigall India Limited undervalued?

We estimate the fair value of Ceigall India Limited at ₹318 per share, against a market price of ₹380. That puts the share price about -16.4% above our estimate, at low 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) (₹86), Fair multiple (P/E) (₹551). These methods disagree materially, so the estimate is their midpoint rather than a weighted blend, and the disagreement is part of the finding. The full working, including the assumptions and what data was missing, is set out below.

The range around this estimate

Our estimate for Ceigall India Limited spans ₹159 to ₹350. That range is wide, which is the honest signal here: read the range rather than the single number. 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 Ceigall India 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 ₹159 – ₹350

Why this method for this business

The DCF model is appropriate for a capital-intensive construction company with a clear growth trajectory. EV/EBITDA is useful for comparing with peers in the infrastructure sector, and relative PE captures market sentiment and valuation trends.

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)
₹86equal weight

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

Fair multiple (P/E)
₹551equal weight
EV / EBITDA(not enough data)

required inputs missing

  • Discounted cash flow (2-stage) is the primary model, but the deterministic baseline already uses it. Other models like P/B or P/S are not suitable for a capital-heavy business with volatile cash flows.

What was missing

  • Lack of historical P/E data for accurate relative PE normalization
  • Limited analyst coverage for EV/EBITDA normalization

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)
73 ₹cr

fcf_norm (median ≤5y positive)

Net debt
1,311 ₹cr

gross debt (cash n/a)

Sector-median P/E
20.61×

peer-median

Peers used
32

peer-median

EPS (TTM)
18.37 ₹/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
22.5%

pat_cagr_5y

Fade shape
hard

lifecycle Hyper-Growth

Terminal growth (g)
5.3%

macro terminal × quality premium

Stage-1 years
12 y

lifecycle Hyper-Growth horizon

JudgementOur read of the evidence, not a measurement.
Lifecycle stage
Hyper-Growth

forecast engine (L20)

Quality premium
1.06×

moat Narrow + capital allocation

Term: quality
+4.0%

quality 71/100 (high, stable returns) → premium (ROCE deteriorating → premium halved)

Term: growth
+40.0%

durable ~29% CAGR (ROCE 28% > hurdle) → premium

Term: capital_allocation
-7.3%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+6.5%

financial strength: low leverage (D/E 0.2) → 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
0.418

PV_TV / (PV_1+PV_TV)

Premium vs sector
+45.6%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
58%

data completeness + term agreement

Fair P/E
30×

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

Who computed this

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

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