Old National Bancorp /In/ (ONB) Occupancy Expense (2009 - 2026)
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Analysis
Old National Bancorp /In/ (ONB) Occupancy Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
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 |
API Access
Old National Bancorp /In/ Occupancy 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=occupancy-expense&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-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=occupancy-expense&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();