Zensar Technologies Limited DCF Valuation

ZENSARTECH · Information Technology · Current price ₹506

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DocStoX fair value
₹993
low confidence · 45/100
Current price
₹425
Upside to fair value
+133.5%
Estimate range
₹347 – ₹1,638
Cash-flow model
₹347
Discounted cash flow (2-stage) · 70% weight
5Y profit growth
+20.3%
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Zensar Technologies Limited cash-flow valuation

Our discounted cash flow (2-stage) values Zensar Technologies Limited at ₹347 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 ₹993. 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 Zensar Technologies 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 Zensar Technologies Limited. Nothing here is a target price or a forecast of where the share price will go.

Low confidence45/100floor: no better than this

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 ₹347 – ₹1,638

Why this method for this business

Zensar Technologies is an IT services company with a focus on earnings power and a durable moat. A DCF model is appropriate for its asset-light structure, while a relative P/E model captures its industry positioning and growth potential.

The models behind the number

These methods disagree materially, so the estimate is their plain midpoint rather than a weighted blend. The disagreement is itself the finding.

Discounted cash flow (2-stage)
₹347equal weight

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

Fair multiple (P/E)
₹1,638equal weight
  • ev_ebitda is not used due to insufficient data quality and lack of clear EBITDA trends for normalization

What was missing

  • Lack of forward EBITDA estimates
  • Insufficient data on capital allocation efficiency
  • Limited analyst coverage for precise P/E normalization

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)
455 ₹cr

fcf_norm (median ≤5y positive)

Net debt
79 ₹cr

gross debt (cash n/a)

Sector-median P/E
36.23×

peer-median

Peers used
7

peer-median

EPS (TTM)
34.14 ₹/share

computed

Own-history median P/E
19.94×

reconstructed (one feature, dampened — not a cap)

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
14%

pat_cagr_5y

Fade shape
linear

lifecycle Mature

Terminal growth (g)
5.42%

macro terminal × quality premium

Stage-1 years
9 y

lifecycle Mature horizon

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

forecast engine (L20)

Quality premium
1.083×

moat Narrow + capital allocation

Term: quality
+5.8%

quality 67/100 (high, stable returns) → premium

Term: growth
+25.7%

durable ~14% CAGR (ROCE 23% > hurdle) → premium

Term: capital_allocation
+3.4%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+10.0%

financial strength: effectively debt-free → premium

Term: history
-13.5%

history: market paid -45% 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
0.535

PV_TV / (PV_1+PV_TV)

Premium vs sector
+32.4%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
78%

data completeness + term agreement

Fair P/E
47.98×

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

Who computed this

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

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