Qnity Electronics Inc

Qnity Electronics Inc (Q) Price Prediction & Forecast

$120.260

-5.797 (-4.82%)At close

Price Predictions

1-Day Price Prediction
-0.37%
1-Week Prediction
-1.06%
1-Month Prediction
2026 Prediction
2030 Prediction

Open in app to unlock longer-horizon forecasts.

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Q Prediction & Forecast by Similar Chart Analysis

Alphio's Q stock price prediction model matches the current Qnity Electronics Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $119.82 (-0.37%). The 1-week path is $118.99 (-1.06%). 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 Qnity Electronics Inc Stock?

Currently, Qnity Electronics Inc is not a strong buy due to its low RSI of 24.008, indicating oversold conditions, and a recent price drop of 6.69% over the last five days. However, the company has shown solid revenue growth, with Q2 2026 revenue at $1.429 billion, up from $1.276 billion in Q3 2025. The forward P/E ratio of 30.03 suggests some growth potential, but the stock's recent performance and high volatility (implied volatility at 81.06) present risks. The main risk is the declining trend in stock price, which has dropped 8.32% over the last 20 days, indicating potential continued weakness in the short term.

Q stock price ended at $120.26 on Friday, after losing -4.82%

Qnity Electronics Inc (Q) last closed at $120.26, losing -4.82%. These facts feed the 1-day and 1-week Q price prediction above.

Forecast Drivers

Qnity Electronics Inc (Q) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Similar patterns

Positive

Bullish

Seasonality

Positive

Bullish

SMA 20

Negative

Bearish

SMA 200

Negative

Bearish

Similar Chart Patterns

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

Seasonality analysis for Q

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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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