SCPL (SCPL) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹455-15.1%

As of , the SCPL (SCPL) 1-year price target is ₹455 - -15.1% from the current price of ₹535. The 80% confidence range is ₹248-₹832, with a 37.2% probability of finishing above today's price.

SCPL 2027
₹455
-15.1%
SCPL 2029
₹343
-36.0%
SCPL 2031
₹255
-52.4%

Probability-weighted price target and forecast for SCPL (SCPL) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 2.0 years of NSE historical data - so you see the full range of where the price could realistically land, weighted by likelihood. No analyst opinions. Just statistics.

Spot Price · Today
₹0
Based on 2.0 years of daily NSE data ·0.0% annualised volatility
5-yr median forecast
₹0
P(price ↑ in 5y)
0%
1-Year Forecast
2027
₹0
Median (P50)
15.1%
80% range₹248-₹832
P(price ↑)37%
P(price 2×)4%
3-Year Forecast
2029
₹0
Median (P50)
36.0%
80% range₹118-₹989
P(price ↑)30%
P(price 2×)8%
5-Year Forecast
2031
₹0
Median (P50)
52.4%
80% range₹66-₹1,023
P(price ↑)25%
P(price 2×)9%

SCPL price probability fan

Each band shows where 10,000 simulated paths land. The wider the fan, the more uncertainty.

Probability Fan
SCPL simulated paths · 60 months · 10,000 trials
P10-P90 (80%)P25-P75 (50%)Median (P50)

Probability of key outcomes

What are the odds SCPL hits common targets within the simulated horizon?

0%
P(↑ 1Y)
Above today's price in 1 year
0%
P(↑ 5Y)
Above today's price in 5 years
0%
P(2×)
Doubles within 5 years
0%
P(↓)
Falls below today in 5 years

How the SCPL price target & forecast are calculated

We ran 10,000 simulated price paths for SCPL (SCPL) using Geometric Brownian Motion (GBM) - the same probability framework used in institutional risk-management systems. The simulation uses SCPL's actual 2.0-year historical volatility (47.6%) and mean log return (-3.2%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique SCPL share price path day-by-day for 5 years. The percentile bands (P10/P50/P90) show the full distribution of outcomes - your real price target range, not a single guess.

Why this SCPL forecast differs from analyst price targets: Analyst targets are point estimates from subjective valuation models. Monte Carlo price-target forecasts are probability distributions from actual market data. They tell you the range and likelihood of where SCPL could realistically land - so you can plan for the spread of outcomes, not bet on a wish.

SCPL price target & forecast - probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹248₹455₹83237.2%3.6%
3 years (2029)₹118₹343₹98929.7%8.3%
5 years (2031)₹66₹255₹1,02324.8%9.3%

Generated 6/7/2026, 10:51:35 am. Refreshed every 6 hours from 2.0y of NSE history.

SCPL price target & forecast - FAQs

What is the SCPL (SCPL) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, SCPL's 5-year median (P50) forecast is ₹255. The 80% confidence band is ₹66-₹1,023. The probability of the price being above today's ₹535 in 5 years is 24.8%.

How is Monte Carlo different from analyst price targets?

Analyst targets are point estimates based on subjective valuation models. Monte Carlo simulations produce a probability distribution from actual historical volatility - showing the full range of where the price could realistically land, weighted by likelihood. No opinions, just statistics.

Can SCPL double in 5 years?

The probability of SCPL reaching 2× the current price (₹1,070) within 5 years is 9.3%, based on this simulation.

Is this prediction accurate?

No simulation can predict the future - but Monte Carlo gives you a calibrated range of outcomes weighted by historical probability. It accounts for volatility better than any single price target. Use it as a decision-support tool, not a guarantee.

How often is this forecast updated?

Every 6 hours, based on the latest NSE close prices and 2.0 years of historical data.

For information and education only. These figures are a statistical Monte Carlo forecast (a probability distribution from SCPL's own historical volatility), shown with the method above. They are not a price-target "call", a prediction, or advice. Downstox is not a SEBI-registered Research Analyst or Investment Adviser, and nothing here is a recommendation to buy or sell SCPL. Markets carry risk; consult a SEBI-registered adviser before investing.

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