i3 Verticals (IIIV) Price to Earnings (2023 - 2026)
i3 Verticals' (IIIV) Price to Earnings was 66.75 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 899.7% from 6.68 a year earlier and up 85.0% from the prior quarter.
i3 Verticals (IIIV) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Price to Earnings at i3 Verticals was 58.78, up 567.5% from FY2024.
- By fiscal year, Price to Earnings came in at 8.81 in FY2024.
- The fiscal Q3 2026 figure ranks as the highest quarterly Price to Earnings since fiscal Q2 2024.
- Year over year, Price to Earnings has now increased in each of the last four quarters, with growth averaging 379.1% over the last six quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 36.09 (Q2 2026), 47.89 (Q1 2026) and 58.78 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | i3 Verticals | 370.24 Mn | 256.25 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.75 |
| Mar 31, 2026 | 36.09 |
| Dec 31, 2025 | 47.89 |
| Sep 30, 2025 | 58.78 |
| Jun 30, 2025 | 6.68 |
| Mar 31, 2025 | 7.30 |
| Dec 31, 2024 | 6.74 |
| Sep 30, 2024 | 8.81 |
| Mar 31, 2024 | 323.39 |
| Dec 31, 2023 | 1,340.60 |
i3 Verticals Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=IIIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "IIIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();