Old National Bancorp (ONB) Rent Expense (2009 - 2026)
Old National Bancorp's Rent Expense was $33.45 million in Q2 2026, up 9.9% from $30.43 million a year earlier but down 9.6% from the prior quarter.
Old National Bancorp (ONB) Rent Expense (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Old National Bancorp's Rent Expense was $140.13 million through Jun 30, 2026, up 20.4% year-over-year; for FY2025, it was $129.17 million, up 17.0% from FY2024.
- Rent Expense has now increased for four consecutive years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In earlier years, Rent Expense was $110.43 million in FY2024 (+3.5%), $106.68 million in FY2023 (+6.2%), $100.42 million in FY2022 (+83.1%) and $54.83 million in FY2021 (-0.9%).
- Quarterly Rent Expense has moved between $12.76 million (Q3 2021) and $37 million (Q1 2026) over five years.
- Compared with a year earlier, Rent Expense has increased for nine straight quarters, with growth averaging 15.3% over the last eight quarters.
- The best year-over-year quarter for Rent Expense over five years was Q3 2022 (growth of 107.1%); the worst was Q3 2021 (a decline of 8.4%).
- Per Business Quant data, ONB's Rent Expense in the three quarters before Q2 2026 was $37 million (Q1 2026), $35.24 million (Q4 2025) and $34.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Old National Bancorp | 9.64 Bn | 2.10 Bn | - | 33.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.45 Mn |
| Mar 31, 2026 | 37.00 Mn |
| Dec 31, 2025 | 35.24 Mn |
| Sep 30, 2025 | 34.44 Mn |
| Jun 30, 2025 | 30.43 Mn |
| Mar 31, 2025 | 29.05 Mn |
| Dec 31, 2024 | 29.73 Mn |
| Sep 30, 2024 | 27.13 Mn |
| Jun 30, 2024 | 26.55 Mn |
| Mar 31, 2024 | 27.02 Mn |
| Dec 31, 2023 | 26.51 Mn |
| Sep 30, 2023 | 25.80 Mn |
| Jun 30, 2023 | 26.09 Mn |
| Mar 31, 2023 | 28.28 Mn |
| Dec 31, 2022 | 26.49 Mn |
| Sep 30, 2022 | 26.42 Mn |
| Jun 30, 2022 | 26.50 Mn |
| Mar 31, 2022 | 21.02 Mn |
| Dec 31, 2021 | 13.15 Mn |
| Sep 30, 2021 | 12.76 Mn |
Old National Bancorp Rent Expense 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=rent-expense&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();