i3 Verticals (IIIV) Other Operating Expenses (2017 - 2026)
i3 Verticals (IIIV) recorded Other Operating Expenses of $25.1 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.9% from $23.7 million a year earlier and up 1.6% from the prior quarter.
i3 Verticals (IIIV) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, i3 Verticals' Other Operating Expenses came in at $98.44 million as of Jun 30, 2026, up 6.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $92.19 million, up 10.4% from FY2024.
- Across earlier fiscal years, Other Operating Expenses came in at $83.5 million in FY2024 (+674.5%), $10.78 million in FY2023 (-54.6%), $23.73 million in FY2022 (+232.3%) and $7.14 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2017.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 6.9% over the last five quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 246.8% in fiscal Q3 2024, against a decline of 80.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $24.72 million (Q2 2026), $24.07 million (Q1 2026) and $24.54 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | i3 Verticals | 367.94 Mn | 373.74 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_KEY
import 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();