Narayana Hrudayalaya Ltd. Fair Value
NH · Healthcare · Current price ₹1,714.8
Is Narayana Hrudayalaya Ltd. undervalued?
We estimate the fair value of Narayana Hrudayalaya Ltd. at ₹2,323 per share, against a market price of ₹1,869. That puts the share price about +24.3% below our estimate, at medium 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 1 method: Fair multiple (P/E) (₹2,323). Each is weighted by how well its inputs held up for this company. The full working, including the assumptions and what data was missing, is set out below.
The range around this estimate
Our estimate for Narayana Hrudayalaya Ltd. spans ₹2,090 to ₹2,555. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.
How we got this fair value
Every number below is part of the same estimate for Narayana Hrudayalaya Ltd.. Nothing here is a target price or a forecast of where the share price will go.
Workable, with real gaps. Weigh it alongside your own view rather than on its own.
Estimate range ₹2,090 – ₹2,555
Why this method for this business
The relative P/E and EV/EBITDA models are most appropriate for a healthcare provider with a durable moat and stable cash flows. These models align with the asset-light nature of the business and the ability to generate consistent returns.
The models behind the number
Each method is weighted by how well its inputs held up for this company.
required inputs missing
- dcf: Not suitable for a healthcare provider with high capital intensity and uncertain cash flows
- ev_ebitda: Used but with lower weight due to limited historical EBITDA data
What was missing
- Limited historical EBITDA data for EV/EBITDA model
- No forward analyst estimates for certain periods
What drives it
15 inputs, grouped by how strong each claim is
- Sector-median P/E
- 58.42×
- Peers used
- 6
- EPS (TTM)
- 39.94 ₹/share
- Own-history median P/E
- 41.62×
peer-median
peer-median
computed
reconstructed (one feature, dampened — not a cap)
- Term: quality
- -9.8%
- Term: growth
- +0.8%
- Term: capital_allocation
- +13.6%
- Term: financial_strength
- +4.2%
- Term: history
- -8.6%
- Term: sector_rerating
- +0.0%
- Term: rate_regime
- +1.2%
- Term: risk
- +0.0%
quality 36/100 (weak/erratic returns) → discount
~8% CAGR (ROCE 14% > hurdle) → neutral
capital allocation: rising ROCE funded by strong FCF → premium
financial strength: low leverage (D/E 0.8) → mild premium
history: market paid -29% 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)
- Premium vs sector
- -0.5%
- Fair-multiple confidence
- 67%
- Fair P/E
- 58.15×
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 Narayana Hrudayalaya Ltd.: 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 methodologyMore on Narayana Hrudayalaya Ltd.
DocStoX estimates are computed from reported financials, for informational purposes only, not investment advice. Consult a SEBI-registered advisor before investing.