Old National Bancorp (ONB) EBIT (2009 - 2026)
Old National Bancorp (ONB) reported EBIT of $639.59 million for Q2 2026, up 37.3% from $465.88 million a year earlier and up 6.6% from the prior quarter.
Old National Bancorp (ONB) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old National Bancorp's EBIT came in at $2.4 billion, up 32.2% year-over-year; for FY2025, it came in at $2.05 billion, up 17.2% from FY2024.
- EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 44.8% (FY2020 to FY2025).
- By year, EBIT came in at $1.75 billion in FY2024 (+20.4%), $1.45 billion in FY2023 (+116.8%), $671 million in FY2022 (+76.1%) and $381.11 million in FY2021 (+18.1%).
- The Q2 2026 figure ranks as the highest quarterly EBIT in data going back to Q2 2009.
- Year over year, EBIT has now increased in each of the last 13 quarters, with growth averaging 22.7% over the last eight quarters.
- The high point for year-over-year EBIT in five years was Q4 2022 (growth of 319.4%); the low point was Q4 2021 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $600.09 million (Q1 2026), $588 million (Q4 2025) and $575.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 19.01 Bn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 639.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 639.59 Mn |
| Mar 31, 2026 | 600.09 Mn |
| Dec 31, 2025 | 588.00 Mn |
| Sep 30, 2025 | 575.18 Mn |
| Jun 30, 2025 | 465.88 Mn |
| Mar 31, 2025 | 424.32 Mn |
| Dec 31, 2024 | 454.01 Mn |
| Sep 30, 2024 | 473.28 Mn |
| Jun 30, 2024 | 431.72 Mn |
| Mar 31, 2024 | 392.30 Mn |
| Dec 31, 2023 | 394.02 Mn |
| Sep 30, 2023 | 393.61 Mn |
| Jun 30, 2023 | 365.16 Mn |
| Mar 31, 2023 | 302.18 Mn |
| Dec 31, 2022 | 328.78 Mn |
| Sep 30, 2022 | 208.97 Mn |
| Jun 30, 2022 | 156.84 Mn |
| Mar 31, 2022 | -23.58 Mn |
| Dec 31, 2021 | 78.39 Mn |
| Sep 30, 2021 | 99.88 Mn |
Old National Bancorp EBIT 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=ebit&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();