Old National Bancorp /In/ (ONB) Marketing and Advertising (2009 - 2026)
Analysis
Old National Bancorp /In/ (ONB) Marketing and Advertising (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.60 Mn |
| Mar 31, 2026 | 16.43 Mn |
| Dec 31, 2025 | 14.42 Mn |
| Sep 30, 2025 | 15.09 Mn |
| Jun 30, 2025 | 13.76 Mn |
| Mar 31, 2025 | 11.94 Mn |
| Dec 31, 2024 | 12.65 Mn |
| Sep 30, 2024 | 11.04 Mn |
| Jun 30, 2024 | 11.28 Mn |
| Mar 31, 2024 | 10.63 Mn |
| Dec 31, 2023 | 10.81 Mn |
| Sep 30, 2023 | 9.45 Mn |
| Jun 30, 2023 | 9.83 Mn |
| Mar 31, 2023 | 9.42 Mn |
| Dec 31, 2022 | 8.51 Mn |
| Sep 30, 2022 | 10.36 Mn |
| Jun 30, 2022 | 9.12 Mn |
| Mar 31, 2022 | 4.28 Mn |
| Dec 31, 2021 | 4.72 Mn |
| Sep 30, 2021 | 3.27 Mn |
API Access
Old National Bancorp /In/ Marketing and Advertising 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=marketing-and-advertising&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();