LTM Limited DCF Valuation

LTM · Information Technology · Current price ₹4,390

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DocStoX fair value
₹4,367
low confidence · 41/100
Current price
₹4,275
Upside to fair value
+2.2%
Estimate range
₹2,894 – ₹6,770
Cash-flow model
₹2,894
Discounted cash flow (2-stage) · 60% weight
5Y profit growth
+20.8%
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LTM Limited cash-flow valuation

Our discounted cash flow (2-stage) values LTM Limited at ₹2,894 per share. Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path. It carries 60% of the weight in our published estimate of ₹4,367. A discounted cash flow is only as good as the cash-flow path it assumes, so the assumptions behind it are listed in full below.

Try your own assumptions

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

Low confidence41/100

The inputs are thin or the models disagree sharply. This is our least reliable kind of estimate, so read the range rather than the single number.

Estimate range ₹2,894 – ₹6,770

Why this method for this business

The IT services sector is best valued using DCF for its earnings power and relative PE for its sector-specific multiple. EV/EBITDA is excluded due to insufficient data quality.

The models behind the number

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

Discounted cash flow (2-stage)
₹2,89460% weight

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

Fair multiple (P/E)
₹6,77040% weight
  • ev_ebitda: required inputs missing

What was missing

  • Missing EV/EBITDA data
  • Limited analyst coverage for precise multiple calibration

What drives it

26 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
3,188 ₹cr

fcf_norm (median ≤5y positive)

Net debt
398.3 ₹cr

total_debt − cash

Sector-median P/E
23.52×

peer-median

Peers used
8

peer-median

EPS (TTM)
176.4 ₹/share

computed

MacroEconomy-wide input, not company-specific.
Discount rate (r)
13.65%

COE (building-block)

Beta
0.9

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)
5.5%

macro terminal × quality premium

Stage-1 years
14 y

lifecycle Growth horizon

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

forecast engine (L20)

Quality premium
1.1×

moat Wide + capital allocation

Term: quality
+7.5%

quality 85/100 (high, stable returns) → premium (ROCE deteriorating → premium halved)

Term: growth
+40.0%

durable ~24% CAGR (ROCE 38% > hurdle) → premium

Term: capital_allocation
-2.2%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+9.6%

financial strength: effectively debt-free → premium

Term: history
+0.0%

history: no reliable own-history P/E → not used

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
0.426

PV_TV / (PV_1+PV_TV)

Premium vs sector
+63.2%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
63%

data completeness + term agreement

Fair P/E
38.38×

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

Who computed this

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

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