Fujiyama Power Systems Limited Valuation

UTLSOLAR · Capital Goods · Current price ₹397.4

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DocStoX fair value
₹319
medium confidence · 65/100
Current price
₹448
Upside to fair value
-28.8%
Estimate range
₹287 – ₹351
P/E ratio
38.8x
P/B ratio
18.0x
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Is Fujiyama Power Systems Limited undervalued?

We estimate the fair value of Fujiyama Power Systems Limited at ₹319 per share, against a market price of ₹448. That puts the share price about -28.8% above 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) (₹319). 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 Fujiyama Power Systems Limited spans ₹287 to ₹351. A margin of safety means buying meaningfully below the estimate: the wider the range, the more room the assumptions leave for error.

Valuation multiples

Fujiyama Power Systems Limited trades at a P/E of 38.8x and a P/B of 18.0x, 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 Fujiyama Power Systems Limited. Nothing here is a target price or a forecast of where the share price will go.

Medium confidence65/100

Workable, with real gaps. Weigh it alongside your own view rather than on its own.

Estimate range ₹287 – ₹351

Why this method for this business

The company operates in the electrical equipment sector, which is capital-intensive and requires a balance between earnings power and capital structure. A relative P/E and EV/EBITDA approach captures both earnings and capital efficiency, while DCF is less relevant due to the sector's cyclicality and capital intensity.

The models behind the number

Each method is weighted by how well its inputs held up for this company.

Fair multiple (P/E)
₹31960% weight
EV / EBITDA(not enough data)

required inputs missing

  • dcf: DCF is less suitable for capital-intensive industries with uncertain cash flows and high reinvestment needs
  • fair multiple (P/E): The deterministic baseline already uses a fair multiple (P/E) approach, and we prefer to focus on EV/EBITDA and relative P/E for a more comprehensive view

What was missing

  • Lack of historical P/E or EV/EBITDA data for the company
  • Limited analyst coverage and forward estimates
  • Uncertainty around the long-term growth of the solar and energy storage markets

What drives it

14 inputs, grouped by how strong each claim is
ReportedRead from filings or market data. Verifiable, not our opinion.
Sector-median P/E
22.27×

peer-median

Peers used
7

peer-median

EPS (TTM)
9.8 ₹/share

computed

JudgementOur read of the evidence, not a measurement.
Term: quality
-0.4%

quality 54/100 (about average) → neutral

Term: growth
+40.0%

durable ~59% CAGR (ROCE 20% > hurdle) → premium

Term: capital_allocation
+3.0%

capital allocation: rising ROCE funded by strong FCF → premium

Term: financial_strength
+0.7%

financial strength: moderate leverage (D/E 0.4) → neutral

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.
Premium vs sector
+46.3%

fundamentals + macro (not capped at own history)

Fair-multiple confidence
60%

data completeness + term agreement

Fair P/E
32.57×

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

Who computed this

A language model (qwen3:8b) selects the valuation method and the judgement inputs for Fujiyama Power Systems 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

Understand the ratios

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