WNS (Holdings) Ltd

WNS (Holdings) Ltd (WNS) Price Prediction & Forecast

$76.480

+0.076 (+0.10%)At close

Price Predictions

1-Month Prediction
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2026 Prediction
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2030 Prediction
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Open in app to unlock longer-horizon forecasts.

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WNS stock price ended at $76.48 on Thursday, after rising +0.10%

WNS (Holdings) Ltd (WNS) last closed at $76.48, gaining +0.10%. These facts feed the 1-day and 1-week WNS price prediction above.

Analyst Consensus

WNS (Holdings) Ltd (WNS): 15 buy, 0 hold, 0 sell. Outlook: Strong Buy.

Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.

Strong sellSellNeutralBuyStrong buy
Strong buy
Sell
0
Buy
15

Forecast Drivers

WNS (Holdings) Ltd (WNS) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Seasonality analysis for WNS

Historically the probability of a positive October return for WNS is 34.29%. January offers the highest probability of a positive month at 65.85%, while November is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.

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10-year price projections for WNS

MonthMin PriceAvg PriceMax PricePotential ROI
Oct 2026$46.46$56.84$58.53-25.68%
Nov 2026$66.69$67.01$71.90-12.38%
Dec 2026$53.05$56.01$68.82-26.77%

In 2026, WNS (Holdings) Ltd (WNS) is projected to range from $46.46 to $71.90.

WNS (Holdings) Ltd 2026 monthly forecast

Oct 2026 WNS forecast
Potential ROI: -25.68%

In Oct 2026, WNS (Holdings) Ltd is projected to average $56.84, with a low of $46.46 and high of $58.53.

Nov 2026 WNS forecast
Potential ROI: -12.38%

In Nov 2026, WNS (Holdings) Ltd is projected to average $67.01, with a low of $66.69 and high of $71.90.

Dec 2026 WNS forecast
Potential ROI: -26.77%

In Dec 2026, WNS (Holdings) Ltd is projected to average $56.01, with a low of $53.05 and high of $68.82.

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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