$16.280
-0.080 (-0.49%)At close
Price Predictions
Open in app to unlock longer-horizon forecasts.
IIIV stock price ended at $16.28 on Friday, after losing -0.49%
I3 Verticals Inc (IIIV) last closed at $16.28, losing -0.49%. These facts feed the 1-day and 1-week IIIV price prediction above.
Analyst Consensus
I3 Verticals Inc (IIIV): 3 buy, 0 hold, 0 sell. Outlook: Strong Buy.
Sell / Buy
Technical signals summary based on buy and sell indicators. The gauge shows the overall market view.
Forecast Drivers
I3 Verticals Inc (IIIV) forecast drivers combine similar chart patterns, seasonality, and moving averages.
Seasonality
Bullish
SMA 20
Bearish
SMA 200
Bearish
Seasonality analysis for IIIV
Historically the probability of a positive August return for IIIV is 66.67%. October offers the highest probability of a positive month at 100.00%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
10-year price projections for IIIV
| Month | Min Price | Avg Price | Max Price | Potential ROI |
|---|---|---|---|---|
| Aug 2026 | $21.08 | $21.54 | $21.80 | +32.28% |
| Sep 2026 | $10.47 | $15.93 | $16.46 | -2.13% |
| Oct 2026 | $16.20 | $17.18 | $20.91 | +5.51% |
| Nov 2026 | $13.16 | $15.51 | $16.30 | -4.74% |
| Dec 2026 | $15.39 | $15.51 | $20.44 | -4.74% |
In 2026, I3 Verticals Inc (IIIV) is projected to range from $10.47 to $21.80.
I3 Verticals Inc 2026 monthly forecast
In Aug 2026, I3 Verticals Inc is projected to average $21.54, with a low of $21.08 and high of $21.80.
In Sep 2026, I3 Verticals Inc is projected to average $15.93, with a low of $10.47 and high of $16.46.
In Oct 2026, I3 Verticals Inc is projected to average $17.18, with a low of $16.20 and high of $20.91.
In Nov 2026, I3 Verticals Inc is projected to average $15.51, with a low of $13.16 and high of $16.30.
In Dec 2026, I3 Verticals Inc is projected to average $15.51, with a low of $15.39 and high of $20.44.
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.