Vikram Solar Limited Intrinsic Value

VIKRAMSOLR · Capital Goods · Current price ₹143.98

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DocStoX fair value
₹256
low confidence · 45/100
Current price
₹167
Upside to fair value
+53.4%
Estimate range
₹128 – ₹447
Quality score
6.5 / 10
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Is Vikram Solar Limited undervalued?

We estimate the fair value of Vikram Solar Limited at ₹256 per share, against a market price of ₹167. That puts the share price about +53.4% 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) (₹65), Fair multiple (P/E) (₹447). 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 Vikram Solar Limited spans ₹128 to ₹447. 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 ₹167 against an estimated value of ₹256, Vikram Solar Limited trades at +53.4%, 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 Vikram Solar 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 ₹128 – ₹447

Why this method for this business

The business is capital-intensive and has a narrow moat, making DCF and relative PE the most appropriate models. EV/EBITDA is excluded due to insufficient data and the nature of the business.

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)
₹65equal weight

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

Fair multiple (P/E)
₹447equal weight
  • ev_ebitda is excluded due to insufficient data and the capital-heavy nature of the business

What was missing

  • Lack of analyst coverage for precise EBITDA margin normalization
  • Insufficient historical P/E data for relative PE model

What drives it

26 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
FCF_0 (normalized)
102 ₹cr

fcf_norm (median ≤5y positive)

Net debt
617 ₹cr

gross debt (cash n/a)

Sector-median P/E
26.7×

peer-median

Peers used
9

peer-median

EPS (TTM)
9.86 ₹/share

computed

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
30%

pat_cagr_5y

Fade shape
hard

lifecycle Hyper-Growth

Terminal growth (g)
5.39%

macro terminal × quality premium

Stage-1 years
12 y

lifecycle Hyper-Growth horizon

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

forecast engine (L20)

Quality premium
1.077×

moat Narrow + capital allocation

Term: quality
-1.4%

quality 52/100 (about average) → neutral

Term: growth
+40.0%

durable ~45% CAGR (ROCE 19% > hurdle) → premium

Term: capital_allocation
+12.9%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+7.7%

financial strength: low leverage (D/E 0.2) → mild premium

Term: history
+0.0%

history: no reliable own-history P/E → not used

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
0.398

PV_TV / (PV_1+PV_TV)

Premium vs sector
+69.8%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
61%

data completeness + term agreement

Fair P/E
45.33×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Vikram Solar 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 methodology

More on Vikram Solar Limited

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