Kirloskar Ferrous Industries Limited DCF Valuation

KIRLFER · Metals & Mining · Current price ₹458.4

Full stock page
DocStoX fair value
₹525
medium confidence · 66/100
Current price
₹465
Upside to fair value
+12.9%
Estimate range
₹472 – ₹577
5Y profit growth
+3.5%
Model it yourself — DCF Calculator
Opens pre-filled with Kirloskar Ferrous Industries Limited's latest numbers.

Kirloskar Ferrous Industries Limited cash-flow valuation

Our engine did not use a discounted-cash-flow model for Kirloskar Ferrous Industries 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 ₹525.

Try your own assumptions

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

Medium confidence66/100

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

Estimate range ₹472 – ₹577

Why this method for this business

Normalized earnings and EV/EBITDA are the most appropriate models for a cyclical commodity business like pig iron, which is sensitive to macroeconomic cycles and pricing pressures.

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)
₹52460% weight

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

Fair multiple (P/E)
₹52610% weight
EV / EBITDA(not enough data)

required inputs missing

  • Relative PE is less reliable for cyclical businesses due to earnings volatility
  • DCF is not suitable for commodities due to their price sensitivity and lack of predictable cash flows

What was missing

  • Forward analyst estimates for EBITDA and EPS
  • Detailed capital allocation efficiency metrics
  • Long-term macroeconomic growth assumptions

What drives it

22 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Revenue (TTM)
6,888.6 ₹ cr

computed

Net debt
914.3 ₹ cr

computed

Shares outstanding
16,00,00,000

computed

Sector-median P/E
21.44×

peer-median

Peers used
62

peer-median

EPS (TTM)
21.56 ₹/share

computed

Own-history median P/E
14.61×

reconstructed (one feature, dampened — not a cap)

AssumptionA forward input the model chose. Reasonable people can disagree here.
EBITDA margin (cycle median)
13%

computed (≤5y median)

Through-cycle EV/EBITDA
10.39×

own-history (median of 5y)

JudgementOur read of the evidence, not a measurement.
Term: quality
-5.2%

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

Term: growth
+30.1%

durable ~16% CAGR (ROCE 19% > hurdle) → premium

Term: capital_allocation
-5.0%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+6.1%

financial strength: low leverage (D/E 0.3) → mild premium

Term: history
-9.6%

history: market paid -32% 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
895.5 ₹ cr

computed

Enterprise value
9,304.2 ₹ cr

computed

Premium vs sector
+13.7%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
75%

data completeness + term agreement

Fair P/E
24.38×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Kirloskar Ferrous Industries 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 Kirloskar Ferrous Industries Limited

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