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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 477.08 Bn | 446.03 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 387.32 Bn | 259.45 Bn | - | 10.13 Bn |
| 3 | Sap Se | 275.21 Bn | 202.61 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 197.49 Bn | 153.36 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 159.67 Bn | 138.13 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 117.83 Bn | 99.96 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 90.62 Bn | 69.97 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 71.51 Bn | 70.61 Bn | - | - |
| 9 | Thomson Reuters | 52.26 Bn | 49.05 Bn | - | 384.00 Mn |
| 10 | i3 Verticals | 328.00 Mn | 214.02 Mn | - | 6.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.67 Mn |
| Mar 31, 2026 | 11.66 Mn |
| Dec 31, 2025 | 8.69 Mn |
| Sep 30, 2025 | 8.74 Mn |
| Jun 30, 2025 | 2.39 Mn |
| Mar 31, 2025 | 12.31 Mn |
| Dec 31, 2024 | 10.02 Mn |
| Sep 30, 2024 | 11.27 Mn |
| Jun 30, 2024 | 5.07 Mn |
| Mar 31, 2024 | 9.43 Mn |
| Dec 31, 2023 | 10.43 Mn |
| Sep 30, 2023 | 11.07 Mn |
| Jun 30, 2023 | 2.67 Mn |
| Mar 31, 2023 | 9.70 Mn |
| Dec 31, 2022 | 8.48 Mn |
| Sep 30, 2022 | -4.39 Mn |
| Jun 30, 2022 | 5.04 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 7.53 Mn |
| Sep 30, 2021 | 8.50 Mn |
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_KEY
import 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();