i3 Verticals (IIIV) Total Liabilities (2017 - 2026)
i3 Verticals (IIIV) reported Total Liabilities of $226.65 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 102.1% from $112.15 million a year earlier and up 14.4% from the prior quarter.
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Analysis
i3 Verticals (IIIV) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), i3 Verticals posted Total Liabilities of $120.69 million, down 43.9% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $215.32 million in FY2024 (-61.3%), $556.12 million in FY2023 (+20.2%), $462.62 million in FY2022 (+27.7%) and $362.21 million in FY2021 (+121.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q3 2024.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 20.1%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2021 (growth of 121.7%); the low point was fiscal Q3 2025 (a decline of 78.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $198.18 million (Q2 2026), $112.59 million (Q1 2026) and $120.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | i3 Verticals | 383.65 Mn | 389.44 Mn | - | 226.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.65 Mn |
| Mar 31, 2026 | 198.18 Mn |
| Dec 31, 2025 | 112.59 Mn |
| Sep 30, 2025 | 120.69 Mn |
| Jun 30, 2025 | 112.15 Mn |
| Mar 31, 2025 | 132.70 Mn |
| Dec 31, 2024 | 215.10 Mn |
| Sep 30, 2024 | 215.32 Mn |
| Jun 30, 2024 | 515.81 Mn |
| Mar 31, 2024 | 279.74 Mn |
| Dec 31, 2023 | 300.98 Mn |
| Sep 30, 2023 | 556.12 Mn |
| Jun 30, 2023 | 562.88 Mn |
| Mar 31, 2023 | 571.22 Mn |
| Dec 31, 2022 | 565.99 Mn |
| Sep 30, 2022 | 462.62 Mn |
| Jun 30, 2022 | 489.93 Mn |
| Mar 31, 2022 | 485.16 Mn |
| Dec 31, 2021 | 483.38 Mn |
| Sep 30, 2021 | 362.21 Mn |
API Access
i3 Verticals Total Liabilities 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=total-liabilities&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();