MM Forgings Limited Fair Value

MMFL · Automobile and Auto Components · Current price ₹529.5

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DocStoX fair value
₹581
medium confidence · 52/100
Current price
₹632
Upside to fair value
-8.0%
Estimate range
₹489 – ₹640
Quality score
3.2 / 10
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Is MM Forgings Limited undervalued?

We estimate the fair value of MM Forgings Limited at ₹581 per share, against a market price of ₹632. That puts the share price about -8.0% 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: Normalized earnings (mid-cycle EV/EBITDA) (₹489), Fair multiple (P/E) (₹1,053). 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 MM Forgings Limited spans ₹489 to ₹640. 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 MM Forgings Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence52/100

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

Estimate range ₹489 – ₹640

Why this method for this business

The business is cyclical, so normalized mid-cycle earnings and EV/EBITDA are appropriate. Relative PE provides a sector benchmark.

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)
₹48960% weight

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

Fair multiple (P/E)
₹1,05310% weight
EV / EBITDA(not enough data)

required inputs missing

  • DCF is not suitable for cyclical businesses
  • Book value is not relevant for an asset-heavy industry
  • Revenue multiples are not applicable for a cyclical business

What was missing

  • Lack of forward EPS estimates
  • Limited analyst coverage
  • No detailed capital allocation data

What drives it

23 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Revenue (TTM)
1,545 ₹ cr

computed

Net debt
1,235 ₹ cr

computed

Shares outstanding
4,81,46,570

computed

Sector-median P/E
28.91×

peer-median

Peers used
45

peer-median

EPS (TTM)
26.29 ₹/share

computed

Own-history median P/E
29.04×

reconstructed (one feature, dampened — not a cap)

AssumptionA forward input the model chose. Reasonable people can disagree here.
EBITDA margin (cycle median)
18%

computed (≤5y median)

Through-cycle EV/EBITDA
12.91×

own-history (median of 5y)

JudgementOur read of the evidence, not a measurement.
Term: quality
+2.1%

quality 59/100 (high, stable returns) → premium

Term: growth
+39.0%

durable ~18% CAGR (ROCE 14% > hurdle) → premium

Term: capital_allocation
-1.1%

capital allocation: steady → neutral

Term: financial_strength
-2.6%

financial strength: elevated leverage (D/E 1.2) → mild discount

Term: history
+0.1%

history: market paid +0% 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
278.1 ₹ cr

computed

Enterprise value
3,589.4 ₹ cr

computed

Net debt basis
gross (cash unavailable)

note: net debt approximated by gross debt (cash unavailable)

Premium vs sector
+38.5%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
84%

data completeness + term agreement

Fair P/E
40.05×

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

Who computed this

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

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