SKF IND (INDUSTRIAL) LTD (SKFINDUS) Price Target & Share Price Forecast

Not a guess. A distribution.

1-Year Price Target (median)₹2,704-1.9%

As of , the SKF IND (INDUSTRIAL) LTD (SKFINDUS) 1-year price target is ₹2,704-1.9% from the current price of ₹2,756. The 80% confidence range is ₹1,695₹4,264, with a 48.0% probability of finishing above today's price.

SKFINDUS 2027
₹2,704
-1.9%
SKFINDUS 2029
₹2,587
-6.1%
SKFINDUS 2031
₹2,490
-9.6%

Probability-weighted price target and forecast for SKF IND (INDUSTRIAL) LTD (SKFINDUS) across 2027, 2029, and 2031. Built from a 10,000-trial Monte Carlo simulation on 0.5 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 0.5 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)
1.9%
80% range₹1,695–₹4,264
P(price ↑)48%
P(price 2×)2%
3-Year Forecast
2029
₹0
Median (P50)
6.1%
80% range₹1,147–₹5,802
P(price ↑)46%
P(price 2×)12%
5-Year Forecast
2031
₹0
Median (P50)
9.6%
80% range₹879–₹7,033
P(price ↑)45%
P(price 2×)16%

SKFINDUS price probability fan

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

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

Probability of key outcomes

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

We ran 10,000 simulated price paths for SKF IND (INDUSTRIAL) LTD (SKFINDUS) using Geometric Brownian Motion (GBM) — the same probability framework used in institutional risk-management systems. The simulation uses SKFINDUS's actual 0.5-year historical volatility (36.4%) and mean log return (4.4%/year), so it reflects real market behaviour, not assumptions.

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

SKFINDUS price target & forecast — probability table

HorizonPessimistic (P10)Median (P50)Optimistic (P90)P(↑ from today)P(2× return)
1 year (2027)₹1,695₹2,704₹4,26448.0%2.3%
3 years (2029)₹1,147₹2,587₹5,80246.0%11.6%
5 years (2031)₹879₹2,490₹7,03344.8%16.5%

Generated 23/6/2026, 9:18:26 pm. Refreshed every 6 hours from 0.5y of NSE history.

SKFINDUS price target & forecast — FAQs

What is the SKF IND (INDUSTRIAL) LTD (SKFINDUS) price target / share price forecast for 2031?

Based on a 10,000-trial Monte Carlo simulation using historical volatility, SKFINDUS's 5-year median (P50) forecast is ₹2,490. The 80% confidence band is ₹879₹7,033. The probability of the price being above today's ₹2,756 in 5 years is 44.8%.

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 SKFINDUS double in 5 years?

The probability of SKFINDUS reaching 2× the current price (₹5,511) within 5 years is 16.5%, 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 0.5 years of historical data.

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