i3 Verticals (IIIV) Income Taxes Paid (2017 - 2026)
i3 Verticals (IIIV) posted Income Taxes Paid of $200,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 79.1% from $955,000 a year earlier and down 90.6% from the prior quarter.
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Analysis
i3 Verticals (IIIV) Income Taxes Paid (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at i3 Verticals was $2.96 million, down 91.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $34.87 million, up 375.7% from FY2024.
- Annual Income Taxes Paid has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 113.2% (FY2020 to FY2025).
- In prior fiscal years, i3 Verticals' Income Taxes Paid was $7.33 million in FY2024 (+126.5%), $3.24 million in FY2023 (+199.9%), $1.08 million in FY2022 (+276.0%) and $287,000 in FY2021 (-63.8%).
- Quarterly Income Taxes Paid has run from a low of -$245,000 in fiscal Q4 2025 to a high of $34.11 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Income Taxes Paid increased in 1 of the last six quarters, with growth averaging 35.0%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was fiscal Q2 2025, with growth of 583.8%; the weakest was fiscal Q4 2021, with a decline of 98.2%.
- According to Business Quant data, Income Taxes Paid for the three prior fiscal quarters was $2.14 million (Q2 2026), $870,000 (Q1 2026) and -$245,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -790.34 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 222.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 187.20 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 68.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | - |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | - |
| 10 | i3 Verticals | 370.24 Mn | 256.25 Mn | - | 200,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200,000.00 |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 870,000.00 |
| Sep 30, 2025 | -245,000.00 |
| Jun 30, 2025 | 955,000.00 |
| Mar 31, 2025 | 34.11 Mn |
| Dec 31, 2024 | 50,000.00 |
| Sep 30, 2024 | 346,000.00 |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 4.99 Mn |
| Dec 31, 2023 | 388,000.00 |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 512,000.00 |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 172,000.00 |
| Sep 30, 2022 | 244,000.00 |
| Jun 30, 2022 | 247,000.00 |
| Mar 31, 2022 | 32,000.00 |
| Dec 31, 2021 | 556,000.00 |
| Sep 30, 2021 | 7,000.00 |
API Access
i3 Verticals Income Taxes Paid 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=income-taxes-paid&ticker=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();