Old National Bancorp (ONB) Provisions (2009 - 2026)
Old National Bancorp's Provisions was $36.21 million in Q2 2026, down 66.1% from $106.84 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Old National Bancorp (ONB) Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Old National Bancorp's Provisions was $130.64 million through Jun 30, 2026, down 32.6% year-over-year; for FY2025, it came in at $197.72 million, up 78.7% from FY2024.
- Provisions shows a five-year compound annual growth rate of 35.8% (FY2020 to FY2025).
- In earlier years, Provisions was $110.62 million in FY2024 (+87.8%), $58.89 million in FY2023 (-59.3%), $144.8 million in FY2022 and -$29.62 million in FY2021.
- Quarterly Provisions has moved between -$4.61 million (Q3 2021) and $108.74 million (Q1 2022) over five years.
- Compared with a year earlier, Provisions was higher in six of the last eight quarters, with growth averaging 50.5%.
- The best year-over-year quarter for Provisions over five years was Q2 2025 (growth of 195.0%); the worst was Q1 2023 (a decline of 87.6%).
- Per Business Quant data, ONB's Provisions in the three quarters before Q2 2026 was $34.95 million (Q1 2026), $32.75 million (Q4 2025) and $26.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 36.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.21 Mn |
| Mar 31, 2026 | 34.95 Mn |
| Dec 31, 2025 | 32.75 Mn |
| Sep 30, 2025 | 26.74 Mn |
| Jun 30, 2025 | 106.84 Mn |
| Mar 31, 2025 | 31.40 Mn |
| Dec 31, 2024 | 27.02 Mn |
| Sep 30, 2024 | 28.50 Mn |
| Jun 30, 2024 | 36.21 Mn |
| Mar 31, 2024 | 18.89 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 19.07 Mn |
| Jun 30, 2023 | 14.79 Mn |
| Mar 31, 2023 | 13.44 Mn |
| Dec 31, 2022 | 11.41 Mn |
| Sep 30, 2022 | 15.49 Mn |
| Jun 30, 2022 | 9.17 Mn |
| Mar 31, 2022 | 108.74 Mn |
| Dec 31, 2021 | -2.72 Mn |
| Sep 30, 2021 | -4.61 Mn |
API Access
Old National Bancorp Provisions 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=provisions&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();