i3 Verticals (IIIV) Other Operating Expenses (2017 - 2026)
i3 Verticals' Other Operating Expenses came in at $17.75 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.3% from $16.71 million a year earlier and up 4.3% from the prior quarter.
i3 Verticals (IIIV) Other Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, i3 Verticals reported Other Operating Expenses of $69.47 million, up 6.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $66.82 million, up 10.4% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $60.54 million in FY2024 (-2.6%), $62.13 million in FY2023 (+78.0%), $34.9 million in FY2022 (-46.2%) and $64.85 million in FY2021 (+41.5%).
- The fiscal Q3 2026 figure represents the highest quarterly Other Operating Expenses since fiscal Q2 2024.
- Year-over-year, Other Operating Expenses has increased for five consecutive quarters, with an average decline of 8.2% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q2 2022 (growth of 141.8%), and the weakest in fiscal Q3 2023 (a decline of 63.8%).
- Business Quant data shows IIIV's Other Operating Expenses at $17.01 million (Q2 2026), $17.21 million (Q1 2026) and $17.49 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 408.45 Bn | 377.40 Bn | 1.64 Bn |
| 2 | Oracle | 373.37 Bn | 245.51 Bn | - |
| 3 | Sap Se | 280.49 Bn | 207.89 Bn | 8.64 Bn |
| 4 | Salesforce | 184.65 Bn | 140.52 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.97 Bn | 108.76 Bn | 2.53 Bn |
| 6 | ServiceNow | 112.30 Bn | 91.56 Bn | 2.90 Bn |
| 7 | Intuit | 98.17 Bn | 77.52 Bn | 3.44 Bn |
| 8 | Relx | 75.56 Bn | 74.65 Bn | - |
| 9 | Thomson Reuters | 53.05 Bn | 49.84 Bn | - |
| 10 | i3 Verticals | 373.11 Mn | 259.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.10 Mn |
| Mar 31, 2026 | 24.72 Mn |
| Dec 31, 2025 | 24.07 Mn |
| Sep 30, 2025 | 24.54 Mn |
| Jun 30, 2025 | 23.70 Mn |
| Mar 31, 2025 | 22.79 Mn |
| Dec 31, 2024 | 23.69 Mn |
| Sep 30, 2024 | 22.70 Mn |
| Jun 30, 2024 | 21.45 Mn |
| Mar 31, 2024 | -290,000.00 |
| Dec 31, 2023 | -237,000.00 |
| Sep 30, 2023 | 876,000.00 |
| Jun 30, 2023 | 6.18 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | -959,000.00 |
| Jun 30, 2022 | 8.25 Mn |
| Mar 31, 2022 | 11.50 Mn |
| Dec 31, 2021 | 4.93 Mn |
| Sep 30, 2021 | 1.31 Mn |
i3 Verticals Other Operating Expenses 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=other-operating-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();