Old National Bancorp (ONB) Interest Expense - Fed Funds (2016 - 2026)
Old National Bancorp (ONB) posted Interest Expense - Fed Funds of $561,000 for Q2 2026, down 41.1% from $953,000 a year earlier and down 5.6% from the prior quarter.
Old National Bancorp (ONB) Interest Expense - Fed Funds (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expense - Fed Funds at Old National Bancorp was $3.03 million, down 5.9% year-over-year; for FY2025, it was $4.45 million, up 36.4% from FY2024.
- Annual Interest Expense - Fed Funds shows a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- In prior years, Old National Bancorp's Interest Expense - Fed Funds was $3.26 million in FY2024 (-71.4%), $11.41 million in FY2023 (+127.3%), $5.02 million in FY2022 and $397,000 in FY2021 (-69.4%).
- Quarterly Interest Expense - Fed Funds has run from a low of $8,000 in Q4 2023 to a high of $5.66 million in Q2 2023 over five years.
- On a year-over-year basis, Interest Expense - Fed Funds increased in four of the last eight quarters, with growth averaging 49.8%.
- The strongest year-over-year quarter for Interest Expense - Fed Funds in the past five years was Q3 2022, with growth of 700.0%; the weakest was Q4 2023, with a decline of 99.8%.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $594,000 (Q1 2026), $54,000 (Q4 2025) and $1.82 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 561,000.00 |
| Mar 31, 2026 | 594,000.00 |
| Dec 31, 2025 | 54,000.00 |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 953,000.00 |
| Mar 31, 2025 | 1.63 Mn |
| Dec 31, 2024 | 23,000.00 |
| Sep 30, 2024 | 612,000.00 |
| Jun 30, 2024 | 1.99 Mn |
| Mar 31, 2024 | 961,000.00 |
| Dec 31, 2023 | 8,000.00 |
| Sep 30, 2023 | 910,000.00 |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 4.84 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 720,000.00 |
| Jun 30, 2022 | 85,000.00 |
| Mar 31, 2022 | 96,000.00 |
| Dec 31, 2021 | 92,000.00 |
| Sep 30, 2021 | 90,000.00 |
Old National Bancorp Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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=interest-expense-fed-funds&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();