Sunnova Energy International Inc

Sunnova Energy International Inc (NOVA) Price Prediction & Forecast

$0.220

0.000 (0.00%)At close

Price Predictions

1-Month Prediction
2026 Prediction
2030 Prediction

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NOVA stock price ended at $0.22 on Monday, after rising 0.00%

Sunnova Energy International Inc (NOVA) last closed at $0.2202, gaining +0.00%. These facts feed the 1-day and 1-week NOVA price prediction above.

Forecast Drivers

Sunnova Energy International Inc (NOVA) forecast drivers combine similar chart patterns, seasonality, and moving averages.

Seasonality

Negative

Bearish

SMA 20

Positive

Bullish

SMA 200

Negative

Bearish

Seasonality analysis for NOVA

Historically the probability of a positive September return for NOVA is 0.00%. January offers the highest probability of a positive month at 7.32%, while February 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 NOVA

MonthMin PriceAvg PriceMax PricePotential ROI
Sep 2026$0.24$0.26$0.29+17.42%
Oct 2026$0.26$0.29$0.33+32.40%
Nov 2026$0.24$0.28$0.28+25.69%
Dec 2026$0.27$0.28$0.31+29.27%

In 2026, Sunnova Energy International Inc (NOVA) is projected to range from $0.24 to $0.33.

Sunnova Energy International Inc 2026 monthly forecast

Sep 2026 NOVA forecast
Potential ROI: 17.42%

In Sep 2026, Sunnova Energy International Inc is projected to average $0.26, with a low of $0.24 and high of $0.29.

Oct 2026 NOVA forecast
Potential ROI: 32.40%

In Oct 2026, Sunnova Energy International Inc is projected to average $0.29, with a low of $0.26 and high of $0.33.

Nov 2026 NOVA forecast
Potential ROI: 25.69%

In Nov 2026, Sunnova Energy International Inc is projected to average $0.28, with a low of $0.24 and high of $0.28.

Dec 2026 NOVA forecast
Potential ROI: 29.27%

In Dec 2026, Sunnova Energy International Inc is projected to average $0.28, with a low of $0.27 and high of $0.31.

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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