Old National Bancorp (ONB) Revenue (2009 - 2026)
Old National Bancorp (ONB) reported Revenue of $732.55 million for Q2 2026, up 13.2% from $647.31 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Old National Bancorp (ONB) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old National Bancorp's Revenue came in at $2.82 billion, up 34.1% year-over-year; for FY2025, it came in at $2.52 billion, up 33.9% from FY2024.
- Revenue has increased for four consecutive years, with a five-year compound annual growth rate of 24.8% (FY2020 to FY2025).
- By year, Revenue came in at $1.89 billion in FY2024 (+2.7%), $1.84 billion in FY2023 (+6.3%), $1.73 billion in FY2022 (+113.1%) and $810.62 million in FY2021 (-3.0%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2009.
- Year over year, Revenue has now increased in each of the last nine quarters, with growth averaging 25.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2022 (growth of 180.5%); the low point was Q4 2023 (a decline of 16.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $694.92 million (Q1 2026), $690.59 million (Q4 2025) and $705.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 22.62 Bn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 732.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 732.55 Mn |
| Mar 31, 2026 | 694.92 Mn |
| Dec 31, 2025 | 690.59 Mn |
| Sep 30, 2025 | 705.07 Mn |
| Jun 30, 2025 | 647.31 Mn |
| Mar 31, 2025 | 481.44 Mn |
| Dec 31, 2024 | 489.95 Mn |
| Sep 30, 2024 | 485.86 Mn |
| Jun 30, 2024 | 475.69 Mn |
| Mar 31, 2024 | 433.98 Mn |
| Dec 31, 2023 | 464.50 Mn |
| Sep 30, 2023 | 456.02 Mn |
| Jun 30, 2023 | 463.80 Mn |
| Mar 31, 2023 | 452.17 Mn |
| Dec 31, 2022 | 556.13 Mn |
| Sep 30, 2022 | 456.97 Mn |
| Jun 30, 2022 | 426.59 Mn |
| Mar 31, 2022 | 288.03 Mn |
| Dec 31, 2021 | 198.27 Mn |
| Sep 30, 2021 | 206.09 Mn |
API Access
Old National Bancorp Revenue 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=revenue&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();