Harsha Engineers International Limited Intrinsic Value

HARSHA · Capital Goods · Current price ₹445.05

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DocStoX fair value
₹494
low confidence · 45/100
Current price
₹445
Upside to fair value
+11.0%
Estimate range
₹247 – ₹543
Quality score
4.3 / 10
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Is Harsha Engineers International Limited undervalued?

We estimate the fair value of Harsha Engineers International Limited at ₹494 per share, against a market price of ₹445. That puts the share price about +11.0% below 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) (₹170), Fair multiple (P/E) (₹817). 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 Harsha Engineers International Limited spans ₹247 to ₹543. 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.

Margin of safety

Value investors look for a margin of safety: a discount to estimated value that absorbs being wrong. At ₹445 against an estimated value of ₹494, Harsha Engineers International Limited trades at +11.0%, i.e. a discount to our estimate. How much margin to demand depends on how much you trust the inputs, which is what the confidence band below is for.

How we got this fair value

Every number below is part of the same estimate for Harsha Engineers International 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 ₹247 – ₹543

Why this method for this business

The DCF model is appropriate for a capital goods company with stable cash flows, while EV/EBITDA and relative P/E provide market-based benchmarks for valuation.

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)
₹170equal weight

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

Fair multiple (P/E)
₹817equal weight
EV / EBITDA(not enough data)

required inputs missing

  • Discounted cash flow (2-stage) is the primary model, but the deterministic baseline already uses it. EV/EBITDA and relative P/E are included for completeness.

What was missing

  • Lack of forward-looking analyst estimates for EBITDA and EPS
  • Limited data on capital allocation efficiency

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)
90 ₹cr

fcf_norm (median ≤5y positive)

Net debt
372 ₹cr

gross debt (cash n/a)

Sector-median P/E
31.62×

peer-median

Peers used
7

peer-median

EPS (TTM)
16.99 ₹/share

computed

Own-history median P/E
28.6×

reconstructed (one feature, dampened — not a cap)

MacroEconomy-wide input, not company-specific.
Discount rate (r)
15.53%

COE (building-block)

Beta
1.15

bottom-up industry

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)
4.92%

macro terminal × quality premium

Stage-1 years
10 y

lifecycle Growth horizon

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

forecast engine (L20)

Quality premium
0.985×

moat None + capital allocation

Term: quality
-4.3%

quality 46/100 (weak/erratic returns) → discount

Term: growth
+40.0%

durable ~21% CAGR (ROCE 12% > hurdle) → premium

Term: capital_allocation
+5.8%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+9.2%

financial strength: effectively debt-free → premium

Term: history
-2.9%

history: market paid -10% 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
0.434

PV_TV / (PV_1+PV_TV)

Premium vs sector
+52.1%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
81%

data completeness + term agreement

Fair P/E
48.09×

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

Who computed this

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

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