Old National Bancorp (ONB) Shares Outstanding (Diluted) (2009 - 2026)
Old National Bancorp (ONB) recorded Shares Outstanding (Diluted) of 383.27 million in Q2 2026, up 6.0% from 361.44 million a year earlier but down 1.2% from the prior quarter.
Old National Bancorp (ONB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Old National Bancorp reported Shares Outstanding (Diluted) of 365.46 million, up 17.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four straight years, with a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 311 million in FY2024 (+6.6%), 291.86 million in FY2023 (+5.5%), 276.69 million in FY2022 (+66.8%) and 165.93 million in FY2021 (-0.1%).
- Quarterly Shares Outstanding (Diluted) has ranged from 165.93 million in Q4 2021 to 390.5 million in Q3 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for nine consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 76.3% in Q3 2022, against a decline of 0.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 388.05 million (Q1 2026), 365.46 million (Q4 2025) and 390.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (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 | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 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 | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - | 383.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.27 Mn |
| Mar 31, 2026 | 388.05 Mn |
| Dec 31, 2025 | 365.46 Mn |
| Sep 30, 2025 | 390.50 Mn |
| Jun 30, 2025 | 361.44 Mn |
| Mar 31, 2025 | 321.02 Mn |
| Dec 31, 2024 | 311.00 Mn |
| Sep 30, 2024 | 317.33 Mn |
| Jun 30, 2024 | 316.46 Mn |
| Mar 31, 2024 | 292.21 Mn |
| Dec 31, 2023 | 291.86 Mn |
| Sep 30, 2023 | 291.72 Mn |
| Jun 30, 2023 | 291.27 Mn |
| Mar 31, 2023 | 292.76 Mn |
| Dec 31, 2022 | 276.69 Mn |
| Sep 30, 2022 | 292.48 Mn |
| Jun 30, 2022 | 291.88 Mn |
| Mar 31, 2022 | 227.00 Mn |
| Dec 31, 2021 | 165.93 Mn |
| Sep 30, 2021 | 165.94 Mn |
Old National Bancorp 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=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();