NIIT Learning Systems Limited DCF Valuation

NIITMTS · Consumer Services · Current price ₹199.06

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DocStoX fair value
₹605
low confidence · 30/100
Current price
₹230
Upside to fair value
+163.2%
Estimate range
₹346 – ₹864
Cash-flow model
₹864
Residual income (excess return on book) · 30% weight
5Y profit growth
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NIIT Learning Systems Limited cash-flow valuation

Our residual income (excess return on book) values NIIT Learning Systems Limited at ₹864 per share. Book value plus the present value of returns earned above the 10.6% cost of equity. It carries 30% of the weight in our published estimate of ₹605. 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 NIIT Learning Systems 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 NIIT Learning Systems Limited. Nothing here is a target price or a forecast of where the share price will go.

Low confidence30/100floor: 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 ₹346 – ₹864

Why this method for this business

The business is asset-light and earns returns through a durable moat, making relative PE and residual income the most appropriate models. DCF is less relevant due to the lack of capital intensity and the difficulty in forecasting earnings growth.

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.

Fair multiple (P/E)
₹346equal weight
Residual income (excess return on book)
₹864equal weight

Book value plus the present value of returns earned above the 10.6% cost of equity

  • dcf: Not suitable for an asset-light, earnings-driven business with a durable moat

What was missing

  • Lack of forward EPS data
  • Limited analyst coverage
  • Insufficient historical data on moat durability

What drives it

20 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
24.2×

peer-median

Peers used
7

peer-median

EPS (TTM)
18.63 ₹/share

computed

Own-history median P/E
24.59×

reconstructed (one feature, dampened — not a cap)

ROE (normalized)
24.4%

computed

Book value / share
112 ₹

reported

MacroEconomy-wide input, not company-specific.
Cost of equity
10.6%

building-block

JudgementOur read of the evidence, not a measurement.
Term: quality
-3.4%

quality 48/100 (weak/erratic returns) → discount

Term: growth
-22.0%

weak ~-1% CAGR (ROCE 31% > hurdle) → discount

Term: capital_allocation
-6.3%

capital allocation: falling ROCE / weak cash generation → discount

Term: financial_strength
+7.0%

financial strength: effectively debt-free → premium

Term: history
+0.5%

history: market paid +2% 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)

Moat
Wide

computed

Excess-return horizon
20 yrs

computed

DerivedFalls out of the inputs above: a model output, not an independent input.
Premium vs sector
-23.2%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
78%

data completeness + term agreement

Fair P/E
18.59×

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

Who computed this

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

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