MPS Limited DCF Valuation

MPSLTD · Media, Entertainment & Publication · Current price ₹2,512

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DocStoX fair value
₹1,970
low confidence · 45/100
Current price
₹2,609
Upside to fair value
-24.5%
Estimate range
₹1,182 – ₹2,167
Cash-flow model
₹1,096
Discounted cash flow (2-stage) · 60% weight
5Y profit growth
+24.0%
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MPS Limited cash-flow valuation

Our discounted cash flow (2-stage) values MPS Limited at ₹1,096 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 ₹1,970. 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 MPS 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 MPS 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 ₹1,182 – ₹2,167

Why this method for this business

The business is asset-light with durable earnings power, making DCF and relative PE appropriate. Residual income complements these models by capturing book value and return on equity.

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)
₹1,096equal weight

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

Fair multiple (P/E)
₹2,821equal weight

downweighted: 147% from committee consensus (₹1140)

Residual income (excess return on book)
₹1,140equal weight

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

  • Discounted cash flow (2-stage) is primary, but other models like DDM or EV/EBITDA are not suitable for a B2B learning and platform solutions company with high ROE and low debt

What was missing

  • Lack of forward analyst estimates for EBITDA
  • Limited data on digital adoption rates
  • No recent news impacting the business

What drives it

33 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
77 ₹cr

fcf_norm (median ≤5y positive)

Net debt
61 ₹cr

gross debt (cash n/a)

Sector-median P/E
7.06×

peer-median

Peers used
5

peer-median

EPS (TTM)
110.12 ₹/share

computed

Own-history median P/E
14.73×

reconstructed (one feature, dampened — not a cap)

ROE (normalized)
27.5%

computed

Book value / share
349 ₹

reported

MacroEconomy-wide input, not company-specific.
Discount rate (r)
14.4%

COE (building-block)

Beta
1

bottom-up industry

Cost of equity
10.6%

building-block

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

Anchor correction
peer anchor 7.1x diverges 2.1x from 7yr own-history 14.7x (no size-comparable peer) — anchor blended 0.6 toward own-history → 11.7x

peer-anchor mismatch — deep own-history used instead

Term: quality
+14.4%

quality 84/100 (high, stable returns) → premium

Term: growth
+40.0%

durable ~18% CAGR (ROCE 32% > hurdle) → premium

Term: capital_allocation
+15.0%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+9.2%

financial strength: low leverage (D/E 0.1) → mild premium

Term: history
+7.9%

history: market paid +26% 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.
Path
FCFE

computed (D/E vs 0.8)

Terminal-value fraction
0.394

PV_TV / (PV_1+PV_TV)

Premium vs sector
+119.7%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
82%

data completeness + term agreement

Fair P/E
25.62×

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

Who computed this

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

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