Indus Towers Limited DCF Valuation

INDUSTOWER · Telecommunication · Current price ₹383.3

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DocStoX fair value
₹513
medium confidence · 52/100
Current price
₹388
Upside to fair value
+32.2%
Estimate range
₹439 – ₹687
Cash-flow model
₹439
Discounted cash flow (2-stage) · 70% weight
5Y profit growth
+13.6%
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Indus Towers Limited cash-flow valuation

Our discounted cash flow (2-stage) values Indus Towers Limited at ₹439 per share. Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path. It carries 70% of the weight in our published estimate of ₹513. 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 Indus Towers 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 Indus Towers 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 ₹439 – ₹687

Why this method for this business

Indus Towers is an asset-light infrastructure business with durable cash flows and a wide moat, making DCF and relative PE the most appropriate models. EV/EBITDA is less relevant due to the high debt and focus on cash flows.

The models behind the number

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

Discounted cash flow (2-stage)
₹43970% weight

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

Fair multiple (P/E)
₹68730% weight
  • ev_ebitda is less suitable for a capital-intensive business with high debt and focus on cash flows rather than EBITDA

What was missing

  • Lack of analyst dispersion data for PE normalization
  • Limited forward EPS data for DCF

What drives it

27 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
6,239 ₹cr

fcf_norm (median ≤5y positive)

Net debt
21,127 ₹cr

gross debt (cash n/a)

Sector-median P/E
15.47×

peer-median

Peers used
5

peer-median

EPS (TTM)
27.12 ₹/share

computed

Own-history median P/E
14.22×

reconstructed (one feature, dampened — not a cap)

MacroEconomy-wide input, not company-specific.
Discount rate (r)
14.03%

COE (building-block)

Beta
0.95

bottom-up industry

AssumptionA forward input the model chose. Reasonable people can disagree here.
Stage-1 start growth
13.59%

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
+8.3%

quality 72/100 (high, stable returns) → premium

Term: growth
+32.0%

durable ~16% CAGR (ROCE 21% > hurdle) → premium

Term: capital_allocation
+9.0%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+6.5%

financial strength: low leverage (D/E 0.5) → mild premium

Term: history
-2.4%

history: market paid -8% 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.
Path
FCFE

computed (D/E vs 0.8)

Terminal-value fraction
0.379

PV_TV / (PV_1+PV_TV)

Premium vs sector
+63.9%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
81%

data completeness + term agreement

Fair P/E
25.35×

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

Who computed this

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

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