i3 Verticals (IIIV) Total Non-Current Liabilities (2017 - 2026)
i3 Verticals' Total Non-Current Liabilities was $201.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 108.7% from $96.7 million a year earlier and up 15.5% from the prior quarter.
i3 Verticals (IIIV) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at i3 Verticals came in at $105.84 million, down 47.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $200.4 million in FY2024 (-62.4%), $533.04 million in FY2023 (+17.6%), $453.08 million in FY2022 (+30.1%) and $348.2 million in FY2021 (+121.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q3 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 21.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2021 (growth of 121.5%); the worst was fiscal Q3 2025 (a decline of 80.6%).
- Per Business Quant data, IIIV's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $174.78 million (Q2 2026), $97.44 million (Q1 2026) and $105.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | i3 Verticals | 367.94 Mn | 373.74 Mn | - | 201.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.80 Mn |
| Mar 31, 2026 | 174.78 Mn |
| Dec 31, 2025 | 97.44 Mn |
| Sep 30, 2025 | 105.84 Mn |
| Jun 30, 2025 | 96.70 Mn |
| Mar 31, 2025 | 117.94 Mn |
| Dec 31, 2024 | 198.18 Mn |
| Sep 30, 2024 | 200.40 Mn |
| Jun 30, 2024 | 498.57 Mn |
| Mar 31, 2024 | 261.39 Mn |
| Dec 31, 2023 | 278.99 Mn |
| Sep 30, 2023 | 533.04 Mn |
| Jun 30, 2023 | 538.73 Mn |
| Mar 31, 2023 | 546.80 Mn |
| Dec 31, 2022 | 544.70 Mn |
| Sep 30, 2022 | 453.08 Mn |
| Jun 30, 2022 | 468.41 Mn |
| Mar 31, 2022 | 465.66 Mn |
| Dec 31, 2021 | 462.71 Mn |
| Sep 30, 2021 | 348.20 Mn |
i3 Verticals Total Non-Current 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-non-current-liabilities&ticker=IIIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();