J.Kumar Infraprojects Limited Fair Value

JKIL · Construction · Current price ₹442.15

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DocStoX fair value
₹765
medium confidence · 60/100
Current price
₹476
Upside to fair value
+60.8%
Estimate range
₹671 – ₹982
Quality score
4.4 / 10
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Is J.Kumar Infraprojects Limited undervalued?

We estimate the fair value of J.Kumar Infraprojects Limited at ₹765 per share, against a market price of ₹476. That puts the share price about +60.8% 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: Discounted cash flow (2-stage) (₹671), Fair multiple (P/E) (₹982). 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 J.Kumar Infraprojects Limited spans ₹671 to ₹982. 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 J.Kumar Infraprojects Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence60/100

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

Estimate range ₹671 – ₹982

Why this method for this business

The DCF model is appropriate for a capital-intensive construction company with predictable cash flows, while the relative PE model captures market sentiment and peer comparisons.

The models behind the number

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

Discounted cash flow (2-stage)
₹67170% weight

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

Fair multiple (P/E)
₹98230% weight
  • ev_ebitda is not suitable for a construction company with high debt and volatile cash flows

What was missing

  • Lack of forward-looking EBITDA margins
  • Limited data on project execution risks

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)
239 ₹cr

fcf_norm (median ≤5y positive)

Net debt
418 ₹cr

total_debt − cash

Sector-median P/E
20.26×

peer-median

Peers used
33

peer-median

EPS (TTM)
50.04 ₹/share

computed

Own-history median P/E
8.44×

reconstructed (one feature, dampened — not a cap)

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
20%

pat_cagr_5y

Fade shape
linear

lifecycle Growth

Terminal growth (g)
5%

macro terminal × quality premium

Stage-1 years
10 y

lifecycle Growth horizon

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

forecast engine (L20)

Quality premium
1×

moat None + capital allocation

Anchor correction
peer anchor 20.3x diverges 0.4x from 7yr own-history 8.4x (no size-comparable peer) — anchor blended 0.6 toward own-history → 13.2x

peer-anchor mismatch — deep own-history used instead

Term: quality
+1.9%

quality 59/100 (about average) → neutral

Term: growth
+40.0%

durable ~30% CAGR (ROCE 15% > hurdle) → premium

Term: capital_allocation
+9.1%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+6.0%

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

Term: history
-10.8%

history: market paid -36% 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
0.476

PV_TV / (PV_1+PV_TV)

Premium vs sector
+49.1%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
82%

data completeness + term agreement

Fair P/E
19.63×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for J.Kumar Infraprojects 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 15 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 J.Kumar Infraprojects Limited

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