Old National Bancorp (ONB) Total Liabilities (2009 - 2026)
Old National Bancorp (ONB) posted Total Liabilities of $65.61 billion for Q2 2026, up 4.4% from $62.85 billion a year earlier and up 1.7% from the prior quarter.
Old National Bancorp (ONB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Old National Bancorp's Total Liabilities came in at $63.66 billion, up 34.8% from FY2024.
- Annual Total Liabilities has increased for 15 consecutive years, with a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In prior years, Old National Bancorp's Total Liabilities was $47.21 billion in FY2024 (+8.5%), $43.53 billion in FY2023 (+4.5%), $41.63 billion in FY2022 (+94.2%) and $21.44 billion in FY2021 (+7.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 32 quarters, with growth averaging 20.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 3.2% (Q1 2024) to 96.7% (Q3 2022).
- According to Business Quant data, Total Liabilities for the three prior quarters was $64.49 billion (Q1 2026), $63.66 billion (Q4 2025) and $62.9 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 65.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.61 Bn |
| Mar 31, 2026 | 64.49 Bn |
| Dec 31, 2025 | 63.66 Bn |
| Sep 30, 2025 | 62.90 Bn |
| Jun 30, 2025 | 62.85 Bn |
| Mar 31, 2025 | 47.34 Bn |
| Dec 31, 2024 | 47.21 Bn |
| Sep 30, 2024 | 47.23 Bn |
| Jun 30, 2024 | 47.04 Bn |
| Mar 31, 2024 | 43.94 Bn |
| Dec 31, 2023 | 43.53 Bn |
| Sep 30, 2023 | 43.82 Bn |
| Jun 30, 2023 | 43.20 Bn |
| Mar 31, 2023 | 42.57 Bn |
| Dec 31, 2022 | 41.63 Bn |
| Sep 30, 2022 | 41.27 Bn |
| Jun 30, 2022 | 40.67 Bn |
| Mar 31, 2022 | 40.60 Bn |
| Dec 31, 2021 | 21.44 Bn |
| Sep 30, 2021 | 20.98 Bn |
Old National Bancorp Total Liabilities 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=total-liabilities&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();