Old National Bancorp (ONB) Amortization - Intangibles (2009 - 2026)
Old National Bancorp's Amortization - Intangibles came in at $24 million for Q2 2026, up 22.3% from $19.63 million a year earlier but down 6.3% from the prior quarter.
Old National Bancorp (ONB) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Old National Bancorp reported Amortization - Intangibles of $101.88 million, up 147.9% year-over-year; for FY2025, it came in at $78.7 million, up 185.9% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 41.0% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $27.53 million in FY2024 (+13.8%), $24.2 million in FY2023 (-6.6%), $25.9 million in FY2022 (+128.5%) and $11.34 million in FY2021 (-19.6%).
- The five-year range for quarterly Amortization - Intangibles is $2.54 million (Q4 2021) to $26.2 million (Q3 2025).
- Year-over-year, Amortization - Intangibles has increased for nine consecutive quarters, with growth averaging 130.6% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2026 (growth of 275.2%), and the weakest in Q4 2021 (a decline of 22.0%).
- Business Quant data shows ONB's Amortization - Intangibles at $25.62 million (Q1 2026), $26.06 million (Q4 2025) and $26.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Old National Bancorp | 9.43 Bn | 1.88 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.00 Mn |
| Mar 31, 2026 | 25.62 Mn |
| Dec 31, 2025 | 26.06 Mn |
| Sep 30, 2025 | 26.20 Mn |
| Jun 30, 2025 | 19.63 Mn |
| Mar 31, 2025 | 6.83 Mn |
| Dec 31, 2024 | 7.23 Mn |
| Sep 30, 2024 | 7.41 Mn |
| Jun 30, 2024 | 7.43 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 5.90 Mn |
| Sep 30, 2023 | 6.04 Mn |
| Jun 30, 2023 | 6.10 Mn |
| Mar 31, 2023 | 6.20 Mn |
| Dec 31, 2022 | 6.80 Mn |
| Sep 30, 2022 | 7.10 Mn |
| Jun 30, 2022 | 7.20 Mn |
| Mar 31, 2022 | 4.81 Mn |
| Dec 31, 2021 | 2.54 Mn |
| Sep 30, 2021 | 2.80 Mn |
Old National Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=ONB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();