Old National Bancorp (ONB) Service Charges (2009 - 2026)
Old National Bancorp's Service Charges came in at $28.01 million for Q2 2026, up 17.3% from $23.88 million a year earlier and up 4.0% from the prior quarter.
Old National Bancorp (ONB) Service Charges (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Old National Bancorp reported Service Charges of $110.32 million, up 28.3% year-over-year; for FY2025, it was $100.41 million, up 28.4% from FY2024.
- Service Charges carries a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- Going back by year, Service Charges was $78.18 million in FY2024 (+8.7%), $71.95 million in FY2023 (-0.8%), $72.5 million in FY2022 (+129.0%) and $31.66 million in FY2021 (-2.8%).
- The Q2 2026 figure represents the highest quarterly Service Charges in data going back to Q2 2009.
- Year-over-year, Service Charges has increased for 11 consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The fastest year-over-year change in Service Charges over five years came in Q3 2022 (growth of 146.7%), and the weakest in Q2 2023 (a decline of 12.7%).
- Business Quant data shows ONB's Service Charges at $26.94 million (Q1 2026), $27.52 million (Q4 2025) and $27.86 million (Q3 2025) in the three quarters before Q2 2026.
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 | 28.01 Mn |
| Mar 31, 2026 | 26.94 Mn |
| Dec 31, 2025 | 27.52 Mn |
| Sep 30, 2025 | 27.86 Mn |
| Jun 30, 2025 | 23.88 Mn |
| Mar 31, 2025 | 21.16 Mn |
| Dec 31, 2024 | 20.58 Mn |
| Sep 30, 2024 | 20.35 Mn |
| Jun 30, 2024 | 19.35 Mn |
| Mar 31, 2024 | 17.90 Mn |
| Dec 31, 2023 | 18.67 Mn |
| Sep 30, 2023 | 18.52 Mn |
| Jun 30, 2023 | 17.75 Mn |
| Mar 31, 2023 | 17.00 Mn |
| Dec 31, 2022 | 18.11 Mn |
| Sep 30, 2022 | 20.04 Mn |
| Jun 30, 2022 | 20.32 Mn |
| Mar 31, 2022 | 14.03 Mn |
| Dec 31, 2021 | 8.39 Mn |
| Sep 30, 2021 | 8.12 Mn |
Old National Bancorp Service Charges 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=service-charges&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "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=service-charges&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();