Avenue Supermarts (DMART) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹4,003-8.4%

As of , the Avenue Supermarts (DMART) 1-year price target is ₹4,003-8.4% from the current price of ₹4,369. The 80% confidence range is ₹2,840₹5,717, with a 37.2% probability of finishing above today's price.

DMART 2027
₹4,003
-8.4%
DMART 2029
₹3,320
-24.0%
DMART 2031
₹2,805
-35.8%

Probability-weighted price target and forecast for Avenue Supermarts (DMART) 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)
8.4%
80% range₹2,840–₹5,717
P(price ↑)37%
P(price 2×)0%
3-Year Forecast
2029
₹0
Median (P50)
24.0%
80% range₹1,840–₹6,127
P(price ↑)29%
P(price 2×)2%
5-Year Forecast
2031
₹0
Median (P50)
35.8%
80% range₹1,270–₹6,205
P(price ↑)24%
P(price 2×)3%

DMART price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for Avenue Supermarts (DMART) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses DMART's actual 2.0-year historical volatility (27.4%) and mean log return (-5.1%/year), so it reflects real market behaviour, not assumptions.

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

DMART price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹2,840₹4,003₹5,71737.2%0.3%
3 years (2029)₹1,840₹3,320₹6,12728.5%2.2%
5 years (2031)₹1,270₹2,805₹6,20523.7%3.2%

Generated 23/6/2026, 5:47:16 am. Refreshed every 6 hours from 2.0y of NSE history.

DMART price target & forecast — FAQs

What is the Avenue Supermarts (DMART) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, DMART's 5-year median (P50) forecast is ₹2,805. The 80% confidence band is ₹1,270₹6,205. The probability of the price being above today's ₹4,369 in 5 years is 23.7%.

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 DMART double in 5 years?

The probability of DMART reaching 2× the current price (₹8,739) within 5 years is 3.2%, 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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