Marsh & McLennan Companies Inc

Marsh & McLennan Companies Inc (MRSH) Price Prediction & Forecast

$188.350

+1.827 (+0.97%)At close

Price Predictions

1-Day Price Prediction
+3.51%
1-Week Prediction
+4.91%
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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MRSH Prediction & Forecast by Similar Chart Analysis

Alphio's MRSH stock price prediction model matches the current Marsh & McLennan Companies Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $195.12 (+3.51%). The 1-week path is $197.76 (+4.91%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.

Should I Buy Marsh & McLennan Companies Inc Stock?

Marsh & McLennan Companies Inc is currently a hold. The stock is priced at $188.35, which is above the downgraded price targets from several analysts, including $177 from BofA and $180 from Morgan Stanley. The RSI is at 91.133, indicating it may be overbought, which poses a risk for short-term investors. Additionally, insider activity shows significant selling, increasing by 4162.50% over the last month, which could signal caution. However, UBS's target of $222 suggests potential upside if the company performs well in the upcoming quarters.

MRSH stock price ended at $188.35 on Friday, after rising +0.97%

Marsh & McLennan Companies Inc (MRSH) last closed at $188.5, gaining +0.08%. These facts feed the 1-day and 1-week MRSH price prediction above.

Forecast Drivers

Marsh & McLennan Companies Inc (MRSH) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Positive

Bullish

Similar Chart Patterns

Stocks whose recent price path most closely matches MRSH, ranked by similarity.

Seasonality analysis for MRSH

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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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