Old National Bancorp /In/ (ONB) Equipment Expense (2009 - 2026)
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Analysis
Old National Bancorp /In/ (ONB) Equipment Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.08 Mn |
| Mar 31, 2026 | 12.08 Mn |
| Dec 31, 2025 | 14.18 Mn |
| Sep 30, 2025 | 12.70 Mn |
| Jun 30, 2025 | 12.57 Mn |
| Mar 31, 2025 | 8.90 Mn |
| Dec 31, 2024 | 9.33 Mn |
| Sep 30, 2024 | 9.89 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 8.67 Mn |
| Dec 31, 2023 | 8.77 Mn |
| Sep 30, 2023 | 8.28 Mn |
| Jun 30, 2023 | 7.72 Mn |
| Mar 31, 2023 | 7.39 Mn |
| Dec 31, 2022 | 7.59 Mn |
| Sep 30, 2022 | 7.33 Mn |
| Jun 30, 2022 | 7.55 Mn |
| Mar 31, 2022 | 5.17 Mn |
| Dec 31, 2021 | 4.47 Mn |
| Sep 30, 2021 | 3.76 Mn |
API Access
Old National Bancorp /In/ Equipment 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=equipment-expense&ticker=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-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=equipment-expense&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();