Indian Metals & Ferro Alloys Limited DCF Valuation

IMFA · Metals & Mining · Current price ₹1,183

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DocStoX fair value
₹1,319
medium confidence · 62/100
Current price
₹1,244
Upside to fair value
+6.1%
Estimate range
₹1,187 – ₹1,451
5Y profit growth
+20.5%
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Opens pre-filled with Indian Metals & Ferro Alloys Limited's latest numbers.

Indian Metals & Ferro Alloys Limited cash-flow valuation

Our engine did not use a discounted-cash-flow model for Indian Metals & Ferro Alloys 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 ₹1,319.

Try your own assumptions

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

Medium confidence62/100

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

Estimate range ₹1,187 – ₹1,451

Why this method for this business

Normalized earnings and relative PE are the most appropriate models for a cyclical commodity business like IMFA, which is sensitive to macroeconomic cycles and pricing dynamics.

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)
₹1,36070% weight

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

Fair multiple (P/E)
₹1,22330% weight
  • ev_ebitda was excluded due to insufficient data quality and lack of clear sector benchmarks for EV/EBITDA in the commodities space

What was missing

  • Lack of forward EBITDA estimates
  • Limited peer data for EV/EBITDA normalization
  • Insufficient analyst coverage for precise multiple calibration

What drives it

22 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Revenue (TTM)
2,826 ₹ cr

computed

Net debt
923.8 ₹ cr

computed

Shares outstanding
5,39,09,727

computed

Sector-median P/E
7.47×

peer-median

Peers used
6

peer-median

EPS (TTM)
97.18 ₹/share

computed

Own-history median P/E
9.38×

reconstructed (one feature, dampened — not a cap)

AssumptionA forward input the model chose. Reasonable people can disagree here.
EBITDA margin (cycle median)
21%

computed (≤5y median)

Through-cycle EV/EBITDA
13.91×

own-history (median of 5y)

JudgementOur read of the evidence, not a measurement.
Term: quality
+0.2%

quality 56/100 (about average) → neutral

Term: growth
+26.9%

durable ~15% CAGR (ROCE 18% > hurdle) → premium

Term: capital_allocation
+13.6%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+6.9%

financial strength: low leverage (D/E 0.4) → mild premium

Term: history
+7.7%

history: market paid +26% 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
593.5 ₹ cr

computed

Enterprise value
8,255.6 ₹ cr

computed

Premium vs sector
+68.4%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
84%

data completeness + term agreement

Fair P/E
12.58×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Indian Metals & Ferro Alloys 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 Indian Metals & Ferro Alloys Limited

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