Old National Bancorp (ONB) Loans - Loss Allowance (2009 - 2026)
Old National Bancorp (ONB) reported Loans - Loss Allowance of $580.51 million for Q2 2026, up 2.7% from $565.11 million a year earlier and up 1.1% from the prior quarter.
Old National Bancorp (ONB) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Old National Bancorp posted Loans - Loss Allowance of $569.52 million, up 45.1% from FY2024.
- Loans - Loss Allowance has increased for four consecutive years, with a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- By year, Loans - Loss Allowance came in at $392.52 million in FY2024 (+27.6%), $307.61 million in FY2023 (+1.3%), $303.67 million in FY2022 (+182.9%) and $107.34 million in FY2021 (-18.3%).
- The Q2 2026 figure ranks as the highest quarterly Loans - Loss Allowance in data going back to Q2 2009.
- Year over year, Loans - Loss Allowance has now increased in each of the last 18 quarters, with growth averaging 34.2% over the last eight quarters.
- The high point for year-over-year Loans - Loss Allowance in five years was Q4 2022 (growth of 182.9%); the low point was Q4 2021 (a decline of 18.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $574.36 million (Q1 2026), $569.52 million (Q4 2025) and $572.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - | 580.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580.51 Mn |
| Mar 31, 2026 | 574.36 Mn |
| Dec 31, 2025 | 569.52 Mn |
| Sep 30, 2025 | 572.18 Mn |
| Jun 30, 2025 | 565.11 Mn |
| Mar 31, 2025 | 401.93 Mn |
| Dec 31, 2024 | 392.52 Mn |
| Sep 30, 2024 | 380.84 Mn |
| Jun 30, 2024 | 366.34 Mn |
| Mar 31, 2024 | 319.71 Mn |
| Dec 31, 2023 | 307.61 Mn |
| Sep 30, 2023 | 303.98 Mn |
| Jun 30, 2023 | 300.56 Mn |
| Mar 31, 2023 | 298.71 Mn |
| Dec 31, 2022 | 303.67 Mn |
| Sep 30, 2022 | 302.25 Mn |
| Jun 30, 2022 | 288.00 Mn |
| Mar 31, 2022 | 280.51 Mn |
| Dec 31, 2021 | 107.34 Mn |
| Sep 30, 2021 | 107.87 Mn |
Old National Bancorp Loans - Loss Allowance 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=loans-loss-allowance&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();