Latent View Analytics Limited Valuation
LATENTVIEW · Information Technology · Current price ₹243.12
Is Latent View Analytics Limited undervalued?
We estimate the fair value of Latent View Analytics Limited at ₹235 per share, against a market price of ₹252. That puts the share price about -6.9% above our estimate, at low confidence. This is our view of what the business is worth, not a target price or a forecast of where the share price will go.
How this fair value is calculated
This estimate comes from 2 methods: Discounted cash flow (2-stage) (₹51), Fair multiple (P/E) (₹419). These methods disagree materially, so the estimate is their midpoint rather than a weighted blend, and the disagreement is part of the finding. The full working, including the assumptions and what data was missing, is set out below.
The range around this estimate
Our estimate for Latent View Analytics Limited spans ₹118 to ₹419. That range is wide, which is the honest signal here: read the range rather than the single number. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.
Valuation multiples
Latent View Analytics Limited trades at a P/E of 25.4x and a P/B of 3.0x, with a dividend yield of 0.0%. Multiples are most useful compared against the company's own history and its sector peers — see the peer comparison for context.
How we got this fair value
Every number below is part of the same estimate for Latent View Analytics Limited. Nothing here is a target price or a forecast of where the share price will go.
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 ₹118 – ₹419
Why this method for this business
The company is an asset-light IT services firm with durable earnings power and a wide moat, making DCF and relative PE the most appropriate models. EV/EBITDA is excluded due to insufficient data.
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.
Intrinsic value from 2-stage discounted cash flows (primary for asset-light / normal businesses); FCFE path
- ev_ebitda: required inputs missing
What was missing
- Lack of forward EPS estimates
- Limited data on capital allocation efficiency
What drives it
27 inputs, grouped by how strong each claim is
- FCF_0 (normalized)
- 61 ₹cr
- Net debt
- 33 ₹cr
- Sector-median P/E
- 22.77×
- Peers used
- 15
- EPS (TTM)
- 9.45 ₹/share
- Own-history median P/E
- 43.55×
fcf_norm (median ≤5y positive)
gross debt (cash n/a)
peer-median
peer-median
computed
reconstructed (one feature, dampened — not a cap)
- Discount rate (r)
- 13.65%
- Beta
- 0.9
COE (building-block)
bottom-up industry
- Stage-1 start growth
- 14%
- Fade shape
- linear
- Terminal growth (g)
- 5.33%
- Stage-1 years
- 9 y
pat_cagr_5y
lifecycle Mature
macro terminal × quality premium
lifecycle Mature horizon
- Lifecycle stage
- Mature
- Quality premium
- 1.066×
- Term: quality
- +3.2%
- Term: growth
- +40.0%
- Term: capital_allocation
- -3.0%
- Term: financial_strength
- +10.0%
- Term: history
- +25.0%
- Term: sector_rerating
- +0.0%
- Term: rate_regime
- +1.2%
- Term: risk
- +0.0%
forecast engine (L20)
moat Narrow + capital allocation
quality 68/100 (high, stable returns) → premium (ROCE deteriorating → premium halved)
durable ~23% CAGR (ROCE 21% > hurdle) → premium
capital allocation: falling ROCE / weak cash generation → discount
financial strength: effectively debt-free → premium
history: market paid +91% vs sector, dampened ×0.3 (one feature, not the anchor)
sector re-rating: no sector-norm history → not used
rates: risk-free 6.9% below ~7.1% normal → higher multiple
risk: no analyst-dispersion signal available → neutral (lowers confidence, not PE)
- Path
- FCFE
- Terminal-value fraction
- 0.531
- Premium vs sector
- +94.9%
- Fair-multiple confidence
- 86%
- Fair P/E
- 44.39×
computed (D/E vs 0.8)
PV_TV / (PV_1+PV_TV)
fundamentals + macro (not capped at own history)
data completeness + term agreement
sector median × ∏(1+term) — Dynamic Fair Multiple
Who computed this
A language model (qwen3:8b) selects the valuation method and the judgement inputs for Latent View Analytics 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 methodologyUnderstand the ratios
More on Latent View Analytics Limited
DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.