i3 Verticals (IIIV) Accumulated Expenses (2017 - 2026)
i3 Verticals (IIIV) posted Accumulated Expenses of $21.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.1% from $21.92 million a year earlier but up 5.0% from the prior quarter.
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Analysis
i3 Verticals (IIIV) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), i3 Verticals' Accumulated Expenses came in at $24.53 million, down 72.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior fiscal years, i3 Verticals' Accumulated Expenses was $88.25 million in FY2024 (+162.8%), $33.58 million in FY2023 (-41.9%), $57.83 million in FY2022 (+13.8%) and $50.82 million in FY2021 (+111.2%).
- Quarterly Accumulated Expenses has run from a low of $20.03 million in fiscal Q2 2026 to a high of $93.7 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with growth averaging 16.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2022, with growth of 250.3%; the weakest was fiscal Q1 2026, with a decline of 75.0%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $20.03 million (Q2 2026), $20.74 million (Q1 2026) and $24.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | i3 Verticals | 384.71 Mn | 390.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.03 Mn |
| Mar 31, 2026 | 20.03 Mn |
| Dec 31, 2025 | 20.74 Mn |
| Sep 30, 2025 | 24.53 Mn |
| Jun 30, 2025 | 21.92 Mn |
| Mar 31, 2025 | 22.73 Mn |
| Dec 31, 2024 | 83.00 Mn |
| Sep 30, 2024 | 88.25 Mn |
| Jun 30, 2024 | 22.83 Mn |
| Mar 31, 2024 | 26.85 Mn |
| Dec 31, 2023 | 33.08 Mn |
| Sep 30, 2023 | 33.58 Mn |
| Jun 30, 2023 | 46.51 Mn |
| Mar 31, 2023 | 55.41 Mn |
| Dec 31, 2022 | 50.97 Mn |
| Sep 30, 2022 | 57.83 Mn |
| Jun 30, 2022 | 63.88 Mn |
| Mar 31, 2022 | 71.38 Mn |
| Dec 31, 2021 | 93.70 Mn |
| Sep 30, 2021 | 50.82 Mn |
API Access
i3 Verticals Accumulated 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=accumulated-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();