i3 Verticals (IIIV) Operating Expenses (2017 - 2026)
i3 Verticals (IIIV) reported Operating Expenses of $53.96 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.9% from $56.71 million a year earlier but up 0.3% from the prior quarter.
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Analysis
i3 Verticals (IIIV) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, i3 Verticals' Operating Expenses came in at $212.22 million, up 4.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $209.38 million, up 12.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $186.88 million in FY2024 (-3.7%), $194.09 million in FY2023 (-8.0%), $210.89 million in FY2022 (-5.9%) and $224.14 million in FY2021 (+57.4%).
- Five-year quarterly Operating Expenses spans a low of -$31.38 million in fiscal Q4 2022 and a high of $88.43 million in fiscal Q2 2023.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 18.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 126.8%); the low point was fiscal Q2 2024 (a decline of 37.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $53.78 million (Q2 2026), $51.06 million (Q1 2026) and $53.43 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 8.41 Bn |
| 10 | i3 Verticals | 372.20 Mn | 378.00 Mn | - | 53.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.96 Mn |
| Mar 31, 2026 | 53.78 Mn |
| Dec 31, 2025 | 51.06 Mn |
| Sep 30, 2025 | 53.43 Mn |
| Jun 30, 2025 | 56.71 Mn |
| Mar 31, 2025 | 49.07 Mn |
| Dec 31, 2024 | 50.17 Mn |
| Sep 30, 2024 | 47.91 Mn |
| Jun 30, 2024 | 47.49 Mn |
| Mar 31, 2024 | 55.48 Mn |
| Dec 31, 2023 | 53.57 Mn |
| Sep 30, 2023 | 21.13 Mn |
| Jun 30, 2023 | 61.84 Mn |
| Mar 31, 2023 | 88.43 Mn |
| Dec 31, 2022 | 80.19 Mn |
| Sep 30, 2022 | -31.38 Mn |
| Jun 30, 2022 | 83.28 Mn |
| Mar 31, 2022 | 84.30 Mn |
| Dec 31, 2021 | 74.69 Mn |
| Sep 30, 2021 | 66.55 Mn |
API Access
i3 Verticals 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=operating-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();