i3 Verticals (IIIV) Shares Outstanding (Diluted) (2018 - 2026)
i3 Verticals (IIIV) reported Weighted Average Shares Outstanding (Diluted) of 19.54 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 42.4% from 33.94 million a year earlier and down 36.1% from the prior quarter.
i3 Verticals (IIIV) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), i3 Verticals posted Weighted Average Shares Outstanding (Diluted) of 34.19 million, down 40.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 57.3 million in FY2024 (+72.3%), 33.25 million in FY2023 (+49.4%), 22.25 million in FY2022 (-29.8%) and 31.71 million in FY2021 (+15.6%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q1 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in five of the last eight quarters, with an average decline of 0.9%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was fiscal Q4 2024 (growth of 72.3%); the low point was fiscal Q3 2026 (a decline of 42.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 30.58 million (Q2 2026), 25.09 million (Q1 2026) and 34.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.00 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 403.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 1.84 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 428.05 Mn |
| 10 | i3 Verticals | 370.24 Mn | 256.25 Mn | - | 19.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.54 Mn |
| Mar 31, 2026 | 30.58 Mn |
| Dec 31, 2025 | 25.09 Mn |
| Sep 30, 2025 | 34.19 Mn |
| Jun 30, 2025 | 33.94 Mn |
| Mar 31, 2025 | 24.08 Mn |
| Dec 31, 2024 | 34.06 Mn |
| Sep 30, 2024 | 57.30 Mn |
| Jun 30, 2024 | 33.71 Mn |
| Mar 31, 2024 | 23.72 Mn |
| Dec 31, 2023 | 33.83 Mn |
| Sep 30, 2023 | 33.25 Mn |
| Jun 30, 2023 | 23.18 Mn |
| Mar 31, 2023 | 34.27 Mn |
| Dec 31, 2022 | 23.00 Mn |
| Sep 30, 2022 | 22.25 Mn |
| Jun 30, 2022 | 22.23 Mn |
| Mar 31, 2022 | 22.08 Mn |
| Dec 31, 2021 | 22.04 Mn |
| Sep 30, 2021 | 31.71 Mn |
i3 Verticals Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=IIIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();