Old National Bancorp (ONB) Accumulated Expenses (2017 - 2026)
Old National Bancorp (ONB) posted Accumulated Expenses of $1.03 billion for Q2 2026, down 10.0% from $1.15 billion a year earlier but up 3.9% from the prior quarter.
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Analysis
Old National Bancorp (ONB) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Old National Bancorp's Accumulated Expenses came in at $1.12 billion, up 14.4% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- In prior years, Old National Bancorp's Accumulated Expenses was $976.83 million in FY2024 (+1.7%), $960.61 million in FY2023 (-8.3%), $1.05 billion in FY2022 (+374.3%) and $220.88 million in FY2021 (+17.9%).
- Quarterly Accumulated Expenses has run from a low of $173.62 million in Q3 2021 to a high of $1.15 billion in Q2 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 9.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 374.3%; the weakest was Q3 2021, with a decline of 20.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $996.33 million (Q1 2026), $1.12 billion (Q4 2025) and $1.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 996.33 Mn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 861.66 Mn |
| Dec 31, 2024 | 976.83 Mn |
| Sep 30, 2024 | 940.15 Mn |
| Jun 30, 2024 | 960.14 Mn |
| Mar 31, 2024 | 908.93 Mn |
| Dec 31, 2023 | 960.61 Mn |
| Sep 30, 2023 | 811.29 Mn |
| Jun 30, 2023 | 733.16 Mn |
| Mar 31, 2023 | 701.72 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 746.01 Mn |
| Jun 30, 2022 | 531.00 Mn |
| Mar 31, 2022 | 413.54 Mn |
| Dec 31, 2021 | 220.88 Mn |
| Sep 30, 2021 | 173.62 Mn |
API Access
Old National Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();