Gabriel India (GABRIEL) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹1,821+48.4%

As of , the Gabriel India (GABRIEL) 1-year price target is ₹1,821+48.4% from the current price of ₹1,227. The 80% confidence range is ₹965₹3,449, with a 78.1% probability of finishing above today's price.

GABRIEL 2027
₹1,821
+48.4%
GABRIEL 2029
₹4,060
+230.8%
GABRIEL 2031
₹8,995
+632.9%

Probability-weighted price target and forecast for Gabriel India (GABRIEL) 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)
48.4%
80% range₹965–₹3,449
P(price ↑)78%
P(price 2×)28%
3-Year Forecast
2029
₹0
Median (P50)
230.8%
80% range₹1,364–₹12,275
P(price ↑)92%
P(price 2×)72%
5-Year Forecast
2031
₹0
Median (P50)
632.9%
80% range₹2,141–₹37,543
P(price ↑)96%
P(price 2×)88%

GABRIEL price probability fan

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

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

Probability of key outcomes

What are the odds GABRIEL 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 GABRIEL price target & forecast are calculated

We ran 10,000 simulated price paths for Gabriel India (GABRIEL) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses GABRIEL's actual 2.0-year historical volatility (50.2%) and mean log return (52.5%/year), so it reflects real market behaviour, not assumptions.

Each of the 10,000 trials projects a unique GABRIEL 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 GABRIEL 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 GABRIEL could realistically land — so you can plan for the spread of outcomes, not bet on a wish.

GABRIEL price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹965₹1,821₹3,44978.1%27.6%
3 years (2029)₹1,364₹4,060₹12,27591.8%71.6%
5 years (2031)₹2,141₹8,995₹37,54396.2%87.7%

Generated 23/6/2026, 4:29:00 am. Refreshed every 6 hours from 2.0y of NSE history.

GABRIEL price target & forecast — FAQs

What is the Gabriel India (GABRIEL) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, GABRIEL's 5-year median (P50) forecast is ₹8,995. The 80% confidence band is ₹2,141₹37,543. The probability of the price being above today's ₹1,227 in 5 years is 96.2%.

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 GABRIEL double in 5 years?

The probability of GABRIEL reaching 2× the current price (₹2,455) within 5 years is 87.7%, 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.

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