i3 Verticals (IIIV) Short-Term Debt repayments (2017 - 2026)
i3 Verticals' Short-Term Debt repayments was $54.49 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 60.4% from $33.97 million a year earlier but down 6.8% from the prior quarter.
i3 Verticals (IIIV) Short-Term Debt repayments (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, i3 Verticals' Short-Term Debt repayments was $113.91 million through Jun 30, 2026, down 77.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $58.37 million, down 91.1% from FY2024.
- Short-Term Debt repayments shows a five-year compound annual growth rate of -28.5% (FY2020 to FY2025).
- In earlier fiscal years, Short-Term Debt repayments was $659.46 million in FY2024 (+134.2%), $281.53 million in FY2023 (+10.4%), $255.1 million in FY2022 (+28.6%) and $198.42 million in FY2021 (-36.7%).
- Quarterly Short-Term Debt repayments has moved between $350,000 (fiscal Q4 2025) and $442.31 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Short-Term Debt repayments was higher in three of the last eight quarters, with growth averaging 60.1%.
- The best year-over-year quarter for Short-Term Debt repayments over five years was fiscal Q4 2024 (growth of 643.6%); the worst was fiscal Q4 2025 (a decline of 99.9%).
- Per Business Quant data, IIIV's Short-Term Debt repayments in the three fiscal quarters before Q3 2026 was $58.46 million (Q2 2026), $612,000 (Q1 2026) and $350,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 372.99 Bn | 337.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 347.94 Bn | 220.50 Bn | - | - |
| 3 | Sap Se | 299.08 Bn | 227.06 Bn | 8.64 Bn | - |
| 4 | Salesforce | 183.01 Bn | 138.88 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 121.50 Bn | 108.30 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.24 Bn | 85.50 Bn | 2.90 Bn | 1.01 Bn |
| 7 | Intuit | 95.23 Bn | 74.58 Bn | 3.44 Bn | - |
| 8 | Relx | 75.40 Bn | 74.52 Bn | - | - |
| 9 | Thomson Reuters | 52.55 Bn | 48.52 Bn | - | - |
| 10 | i3 Verticals | 515.43 Mn | 521.23 Mn | - | 54.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.49 Mn |
| Mar 31, 2026 | 58.46 Mn |
| Dec 31, 2025 | 612,000.00 |
| Sep 30, 2025 | 350,000.00 |
| Jun 30, 2025 | 33.97 Mn |
| Mar 31, 2025 | 22.31 Mn |
| Dec 31, 2024 | 1.74 Mn |
| Sep 30, 2024 | 442.31 Mn |
| Jun 30, 2024 | 84.44 Mn |
| Mar 31, 2024 | 61.05 Mn |
| Dec 31, 2023 | 71.66 Mn |
| Sep 30, 2023 | 59.48 Mn |
| Jun 30, 2023 | 42.12 Mn |
| Mar 31, 2023 | 100.91 Mn |
| Dec 31, 2022 | 79.03 Mn |
| Sep 30, 2022 | 99.45 Mn |
| Jun 30, 2022 | 59.75 Mn |
| Mar 31, 2022 | 46.01 Mn |
| Dec 31, 2021 | 49.90 Mn |
| Sep 30, 2021 | 53.99 Mn |
i3 Verticals Short-Term Debt repayments 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=short-term-debt-repayments&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();