i3 Verticals (IIIV) Operating Leases (2020 - 2026)
i3 Verticals' Operating Leases was $2.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.1% from $3.37 million a year earlier and down 4.8% from the prior quarter.
i3 Verticals (IIIV) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Operating Leases at i3 Verticals came in at $2.96 million, down 39.4% from FY2024.
- Operating Leases has now declined for three consecutive fiscal years, with a four-year compound annual growth rate of -29.4% (FY2021 to FY2025).
- In earlier fiscal years, Operating Leases was $4.89 million in FY2024 (-45.5%), $8.97 million in FY2023 (-35.9%), $13.99 million in FY2022 (+17.0%) and $11.96 million in FY2021.
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Leases in data going back to fiscal Q1 2021.
- Compared with a year earlier, Operating Leases has declined for 15 straight quarters, with an average decline of 42.2% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q1 2022 (growth of 99.6%); the worst was fiscal Q3 2025 (a decline of 51.5%).
- Per Business Quant data, IIIV's Operating Leases in the three fiscal quarters before Q3 2026 was $2.83 million (Q2 2026), $2.79 million (Q1 2026) and $2.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | i3 Verticals | 383.65 Mn | 389.44 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.69 Mn |
| Mar 31, 2026 | 2.83 Mn |
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 2.96 Mn |
| Jun 30, 2025 | 3.37 Mn |
| Mar 31, 2025 | 4.72 Mn |
| Dec 31, 2024 | 5.42 Mn |
| Sep 30, 2024 | 4.89 Mn |
| Jun 30, 2024 | 6.95 Mn |
| Mar 31, 2024 | 9.36 Mn |
| Dec 31, 2023 | 9.42 Mn |
| Sep 30, 2023 | 8.97 Mn |
| Jun 30, 2023 | 11.28 Mn |
| Mar 31, 2023 | 11.76 Mn |
| Dec 31, 2022 | 13.41 Mn |
| Sep 30, 2022 | 13.99 Mn |
| Jun 30, 2022 | 15.02 Mn |
| Mar 31, 2022 | 16.02 Mn |
| Dec 31, 2021 | 16.59 Mn |
| Sep 30, 2021 | 11.96 Mn |
i3 Verticals Operating Leases 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=operating-leases&ticker=IIIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();