PIRAMAL FINANCE LIMITED (PIRAMALFIN) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹4,233+100.2%

As of , the PIRAMAL FINANCE LIMITED (PIRAMALFIN) 1-year price target is ₹4,233+100.2% from the current price of ₹2,115. The 80% confidence range is ₹2,688₹6,651, with a 97.5% probability of finishing above today's price.

PIRAMALFIN 2027
₹4,233
+100.2%
PIRAMALFIN 2029
₹17,209
+713.8%
PIRAMALFIN 2031
₹70,143
+3217.1%

Probability-weighted price target and forecast for PIRAMAL FINANCE LIMITED (PIRAMALFIN) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 0.6 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 0.6 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)
100.2%
80% range₹2,688–₹6,651
P(price ↑)98%
P(price 2×)50%
3-Year Forecast
2029
₹0
Median (P50)
713.8%
80% range₹7,813–₹36,940
P(price ↑)100%
P(price 2×)99%
5-Year Forecast
2031
₹0
Median (P50)
3217.1%
80% range₹25,241–₹1,86,965
P(price ↑)100%
P(price 2×)100%

PIRAMALFIN price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for PIRAMAL FINANCE LIMITED (PIRAMALFIN) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses PIRAMALFIN's actual 0.6-year historical volatility (35.4%) and mean log return (76.2%/year), so it reflects real market behaviour, not assumptions.

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

PIRAMALFIN price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹2,688₹4,233₹6,65197.5%50.1%
3 years (2029)₹7,813₹17,209₹36,940100.0%99.0%
5 years (2031)₹25,241₹70,143₹1,86,965100.0%100.0%

Generated 23/6/2026, 8:14:25 am. Refreshed every 6 hours from 0.6y of NSE history.

PIRAMALFIN price target & forecast — FAQs

What is the PIRAMAL FINANCE LIMITED (PIRAMALFIN) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, PIRAMALFIN's 5-year median (P50) forecast is ₹70,143. The 80% confidence band is ₹25,241₹1,86,965. The probability of the price being above today's ₹2,115 in 5 years is 100.0%.

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 PIRAMALFIN double in 5 years?

The probability of PIRAMALFIN reaching 2× the current price (₹4,229) within 5 years is 100.0%, 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 0.6 years of historical data.

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