Old National Bancorp (ONB) Net Income (2009 - 2026)
Old National Bancorp's Net Income was $253.41 million in Q2 2026, up 102.1% from $125.41 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Old National Bancorp (ONB) Net Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Old National Bancorp's Net Income was $886.28 million through Jun 30, 2026, up 56.1% year-over-year; for FY2025, it was $669.26 million, up 24.1% from FY2024.
- Net Income shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In earlier years, Net Income was $539.19 million in FY2024 (-7.4%), $581.99 million in FY2023 (+35.9%), $428.29 million in FY2022 (+54.3%) and $277.54 million in FY2021 (+22.6%).
- The Q2 2026 figure marks the highest quarterly Net Income in data going back to Q2 2009.
- Compared with a year earlier, Net Income has increased for seven straight quarters, with growth averaging 33.6% over the last eight quarters.
- The best year-over-year quarter for Net Income over five years was Q4 2022 (growth of 257.3%); the worst was Q4 2023 (a decline of 34.0%).
- Per Business Quant data, ONB's Net Income in the three quarters before Q2 2026 was $233.67 million (Q1 2026), $216.62 million (Q4 2025) and $182.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - | 253.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.41 Mn |
| Mar 31, 2026 | 233.67 Mn |
| Dec 31, 2025 | 216.62 Mn |
| Sep 30, 2025 | 182.57 Mn |
| Jun 30, 2025 | 125.41 Mn |
| Mar 31, 2025 | 144.66 Mn |
| Dec 31, 2024 | 153.87 Mn |
| Sep 30, 2024 | 143.80 Mn |
| Jun 30, 2024 | 121.23 Mn |
| Mar 31, 2024 | 120.28 Mn |
| Dec 31, 2023 | 132.48 Mn |
| Sep 30, 2023 | 147.88 Mn |
| Jun 30, 2023 | 155.04 Mn |
| Mar 31, 2023 | 146.60 Mn |
| Dec 31, 2022 | 200.74 Mn |
| Sep 30, 2022 | 140.15 Mn |
| Jun 30, 2022 | 114.99 Mn |
| Mar 31, 2022 | -27.59 Mn |
| Dec 31, 2021 | 56.19 Mn |
| Sep 30, 2021 | 71.75 Mn |
API Access
Old National Bancorp Net Income 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=net-income&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();