Mtar Technologies Limited Fair Value

MTARTECH · Capital Goods · Current price ₹6,964.5

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DocStoX fair value
₹3,282
medium confidence · 66/100
Current price
₹7,313
Upside to fair value
-55.1%
Estimate range
₹2,954 – ₹3,610
Quality score
3.5 / 10
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Is Mtar Technologies Limited undervalued?

We estimate the fair value of Mtar Technologies Limited at ₹3,282 per share, against a market price of ₹7,313. That puts the share price about -55.1% 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 1 method: Fair multiple (P/E) (₹3,282). 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 Mtar Technologies Limited spans ₹2,954 to ₹3,610. 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 Mtar Technologies 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 ₹2,954 – ₹3,610

Why this method for this business

The company operates in a capital-intensive sector with strong growth potential and a durable moat, making relative PE and EV/EBITDA the most appropriate models. DCF is less suitable due to the complexity of capital allocation and the lack of clear cash flow patterns.

The models behind the number

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

Fair multiple (P/E)
₹3,28270% weight
EV / EBITDA(not enough data)

required inputs missing

  • dcf: Inappropriate for capital-intensive sectors with complex capital allocation and uncertain cash flow patterns
  • ev_ebitda: Used but with lower weight due to limited historical data on EBITDA multiples

What was missing

  • Lack of forward EBITDA estimates
  • Limited historical EBITDA multiple data
  • Uncertainty in long-term growth assumptions

What drives it

16 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
32.02×

peer-median

Peers used
8

peer-median

EPS (TTM)
43.76 ₹/share

computed

Own-history median P/E
80.89×

reconstructed (one feature, dampened — not a cap)

JudgementOur read of the evidence, not a measurement.
Anchor correction
peer anchor 32.0x diverges 2.5x from 6yr own-history 80.9x (no size-comparable peer) — anchor blended 0.6 toward own-history → 61.3x

peer-anchor mismatch — deep own-history used instead

Term: quality
-1.9%

quality 51/100 (about average) → neutral

Term: growth
+40.0%

durable ~22% CAGR (ROCE 15% > hurdle) → premium

Term: capital_allocation
+1.5%

capital allocation: steady → neutral

Term: financial_strength
+3.4%

financial strength: low leverage (D/E 0.5) → 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.
Premium vs sector
+22.3%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
86%

data completeness + term agreement

Fair P/E
75×

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

Who computed this

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

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