ATLAS fair value
ATLAS has no fair value for this stock today.
Schneider Electric Infrastructure Limited. share price today, ATLAS forecast and fair value
Industrials · Electrical Equipment & Parts · National Stock Exchange of India · India
Prices as of Oct 26, 2026 · INR
ATLAS has no fair value for this stock today.
49%
that it ends higher than today in 21 sessions
ATLAS's own quantitative analysis, all in one place.
Plans from €3.99 a month.
ATLAS's model gives Schneider Electric Infrastructure Limited. a 49% chance of finishing higher a month from now (21 trading sessions) than today: close to a coin flip.
In half of the simulated outcomes the price ends between ₹1,049 and ₹1,226; in 9 out of 10, between ₹913.53 and ₹1,408. Estimated annual volatility is 45%.
ATLAS does not publish a fair value for SCHNEIDER.NSE right now, but it does show its odds of rising: close to a coin flip.
Over the last 52 weeks SCHNEIDER.NSE has traded between ₹571.85 and ₹1,548. Today it is 26.5% below that high and 99% above its low.
On the business: net margin is 6.3%; it trades at 144.9 times earnings.
Its beta is 0.42: it tends to move less than the market.
Schneider Electric Infrastructure Limited is a company engaged in manufacturing, designing, building, and servicing technologically advanced products and systems for electricity networks.
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Other companies in the same line of business:
Schneider Electric Infrastructure Limited is a company engaged in manufacturing, designing, building, and servicing technologically advanced products and systems for electricity networks.
49%: close to a coin flip. In half of the simulated outcomes, SCHNEIDER.NSE ends the month between ₹1,049 and ₹1,226.
Schneider Electric Infrastructure Limited.'s market capitalization is ₹270B. Its price-to-earnings (P/E) ratio is 144.9: you pay ₹144.9 for each ₹1.00 of yearly earnings.
ATLAS estimates annual volatility at 45%. In a typical month, half of the outcomes end between ₹1,049 and ₹1,226.
Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer
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