i3 Verticals (IIIV) EBITDA (2017 - 2026)
i3 Verticals (IIIV) posted EBITDA of $6.46 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 196.7% from $2.18 million a year earlier but down 43.6% from the prior quarter.
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Analysis
i3 Verticals (IIIV) EBITDA (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at i3 Verticals was $34.91 million, down 0.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $33.62 million, down 19.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior fiscal years, i3 Verticals' EBITDA was $41.8 million in FY2024 (+30.4%), $32.05 million in FY2023 (+410.1%), $6.28 million in FY2022 (-74.3%) and $24.41 million in FY2021 (-6.1%).
- Quarterly EBITDA has run from a low of -$5.88 million in fiscal Q4 2022 to a high of $12.06 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with growth averaging 16.4%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2023, with growth of 634.5%; the weakest was fiscal Q2 2022, with a decline of 82.0%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $11.45 million (Q2 2026), $8.47 million (Q1 2026) and $8.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | i3 Verticals | 383.65 Mn | 389.44 Mn | - | 6.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.46 Mn |
| Mar 31, 2026 | 11.45 Mn |
| Dec 31, 2025 | 8.47 Mn |
| Sep 30, 2025 | 8.53 Mn |
| Jun 30, 2025 | 2.18 Mn |
| Mar 31, 2025 | 12.06 Mn |
| Dec 31, 2024 | 9.74 Mn |
| Sep 30, 2024 | 10.99 Mn |
| Jun 30, 2024 | 4.85 Mn |
| Mar 31, 2024 | 9.17 Mn |
| Dec 31, 2023 | 10.02 Mn |
| Sep 30, 2023 | 10.87 Mn |
| Jun 30, 2023 | 2.09 Mn |
| Mar 31, 2023 | 9.33 Mn |
| Dec 31, 2022 | 8.12 Mn |
| Sep 30, 2022 | -5.88 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | 7.11 Mn |
API Access
i3 Verticals EBITDA 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=ebitda&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();