NIBE (NIBE) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹1,732-4.6%

As of , the NIBE (NIBE) 1-year price target is ₹1,732-4.6% from the current price of ₹1,815. The 80% confidence range is ₹850₹3,543, with a 46.3% probability of finishing above today's price.

NIBE 2027
₹1,732
-4.6%
NIBE 2029
₹1,541
-15.1%
NIBE 2031
₹1,389
-23.5%

Probability-weighted price target and forecast for NIBE (NIBE) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 1.3 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 1.3 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)
4.6%
80% range₹850–₹3,543
P(price ↑)46%
P(price 2×)9%
3-Year Forecast
2029
₹0
Median (P50)
15.1%
80% range₹443–₹5,489
P(price ↑)44%
P(price 2×)19%
5-Year Forecast
2031
₹0
Median (P50)
23.5%
80% range₹282–₹6,937
P(price ↑)42%
P(price 2×)23%

NIBE price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for NIBE (NIBE) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses NIBE's actual 1.3-year historical volatility (55.7%) and mean log return (9.8%/year), so it reflects real market behaviour, not assumptions.

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

NIBE price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹850₹1,732₹3,54346.3%9.4%
3 years (2029)₹443₹1,541₹5,48943.6%19.4%
5 years (2031)₹282₹1,389₹6,93741.5%22.7%

Generated 22/6/2026, 8:49:20 pm. Refreshed every 6 hours from 1.3y of NSE history.

NIBE price target & forecast — FAQs

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

Based on a 10,000-trial Monte Carlo simulation using historical volatility, NIBE's 5-year median (P50) forecast is ₹1,389. The 80% confidence band is ₹282₹6,937. The probability of the price being above today's ₹1,815 in 5 years is 41.5%.

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 NIBE double in 5 years?

The probability of NIBE reaching 2× the current price (₹3,631) within 5 years is 22.7%, 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 1.3 years of historical data.

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