KWIL (KWIL) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹55+53.7%

As of , the KWIL (KWIL) 1-year price target is ₹55+53.7% from the current price of ₹36. The 80% confidence range is ₹28₹111, with a 79.4% probability of finishing above today's price.

KWIL 2027
₹55
+53.7%
KWIL 2029
₹131
+266.3%
KWIL 2031
₹317
+783.7%

Probability-weighted price target and forecast for KWIL (KWIL) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 0.3 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 0.3 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)
53.7%
80% range₹28–₹111
P(price ↑)79%
P(price 2×)31%
3-Year Forecast
2029
₹0
Median (P50)
266.3%
80% range₹41–₹438
P(price ↑)92%
P(price 2×)75%
5-Year Forecast
2031
₹0
Median (P50)
783.7%
80% range₹70–₹1,475
P(price ↑)97%
P(price 2×)90%

KWIL price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for KWIL (KWIL) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses KWIL's actual 0.3-year historical volatility (53.6%) and mean log return (58.1%/year), so it reflects real market behaviour, not assumptions.

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

KWIL price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹28₹55₹11179.4%31.2%
3 years (2029)₹41₹131₹43892.3%75.1%
5 years (2031)₹70₹317₹1,47596.8%89.7%

Generated 23/6/2026, 8:15:10 am. Refreshed every 6 hours from 0.3y of NSE history.

KWIL price target & forecast — FAQs

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

Based on a 10,000-trial Monte Carlo simulation using historical volatility, KWIL's 5-year median (P50) forecast is ₹317. The 80% confidence band is ₹70₹1,475. The probability of the price being above today's ₹36 in 5 years is 96.8%.

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 KWIL double in 5 years?

The probability of KWIL reaching 2× the current price (₹72) within 5 years is 89.7%, 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 0.3 years of historical data.

More on KWIL