Old National Bancorp (ONB) EBITDA (2009 - 2026)
Old National Bancorp (ONB) reported EBITDA of $676 million for Q2 2026, up 36.2% from $496.32 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Old National Bancorp (ONB) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old National Bancorp's EBITDA came in at $2.55 billion, up 34.6% year-over-year; for FY2025, it came in at $2.18 billion, up 19.8% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- By year, EBITDA came in at $1.82 billion in FY2024 (+19.7%), $1.52 billion in FY2023 (+106.9%), $733.34 million in FY2022 (+74.7%) and $419.75 million in FY2021 (+14.8%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2009.
- Year over year, EBITDA has now increased in each of the last 13 quarters, with growth averaging 24.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 293.9%); the low point was Q4 2021 (a decline of 13.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $637.94 million (Q1 2026), $626.88 million (Q4 2025) and $613.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 676.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 676.00 Mn |
| Mar 31, 2026 | 637.94 Mn |
| Dec 31, 2025 | 626.88 Mn |
| Sep 30, 2025 | 613.14 Mn |
| Jun 30, 2025 | 496.32 Mn |
| Mar 31, 2025 | 440.70 Mn |
| Dec 31, 2024 | 470.89 Mn |
| Sep 30, 2024 | 490.20 Mn |
| Jun 30, 2024 | 448.42 Mn |
| Mar 31, 2024 | 407.47 Mn |
| Dec 31, 2023 | 409.95 Mn |
| Sep 30, 2023 | 409.43 Mn |
| Jun 30, 2023 | 380.53 Mn |
| Mar 31, 2023 | 317.50 Mn |
| Dec 31, 2022 | 345.12 Mn |
| Sep 30, 2022 | 225.27 Mn |
| Jun 30, 2022 | 174.04 Mn |
| Mar 31, 2022 | -10.98 Mn |
| Dec 31, 2021 | 87.63 Mn |
| Sep 30, 2021 | 109.18 Mn |
API Access
Old National Bancorp EBITDA 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=ebitda&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();