Old National Bancorp (ONB) Shares Outstanding (2009 - 2026)
Old National Bancorp (ONB) recorded Shares Outstanding of 381.86 million in Q2 2026, up 6.0% from 360.16 million a year earlier but down 1.0% from the prior quarter.
Old National Bancorp (ONB) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Old National Bancorp reported Shares Outstanding of 363.51 million, up 17.5% from FY2024.
- Annual Shares Outstanding has increased for four straight years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 309.5 million in FY2024 (+6.4%), 290.75 million in FY2023 (+5.7%), 275.18 million in FY2022 (+66.6%) and 165.18 million in FY2021 (-0.2%).
- Quarterly Shares Outstanding has ranged from 165.18 million in Q4 2021 to 389.04 million in Q3 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding has increased for nine consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 76.1% in Q2 2022, against a decline of 0.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 385.85 million (Q1 2026), 363.51 million (Q4 2025) and 389.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - | 381.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.86 Mn |
| Mar 31, 2026 | 385.85 Mn |
| Dec 31, 2025 | 363.51 Mn |
| Sep 30, 2025 | 389.04 Mn |
| Jun 30, 2025 | 360.16 Mn |
| Mar 31, 2025 | 315.93 Mn |
| Dec 31, 2024 | 309.50 Mn |
| Sep 30, 2024 | 315.62 Mn |
| Jun 30, 2024 | 315.59 Mn |
| Mar 31, 2024 | 290.98 Mn |
| Dec 31, 2023 | 290.75 Mn |
| Sep 30, 2023 | 290.65 Mn |
| Jun 30, 2023 | 290.56 Mn |
| Mar 31, 2023 | 291.09 Mn |
| Dec 31, 2022 | 275.18 Mn |
| Sep 30, 2022 | 290.96 Mn |
| Jun 30, 2022 | 290.86 Mn |
| Mar 31, 2022 | 227.00 Mn |
| Dec 31, 2021 | 165.18 Mn |
| Sep 30, 2021 | 165.26 Mn |
Old National Bancorp Shares Outstanding 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&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ONB", "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&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();