Associated Banc (ASB) Non Operating Interest Expenses (2009 - 2026)
Associated Banc's Non Operating Interest Expenses was $253.26 million in Q2 2026, up 3.1% from $245.54 million a year earlier and up 14.7% from the prior quarter.
Associated Banc (ASB) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Associated Banc's Non Operating Interest Expenses was $959.84 million through Jun 30, 2026, down 6.1% year-over-year; for FY2025, it came in at $971.61 million, down 9.7% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 45.3% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $1.08 billion in FY2024 (+17.1%), $918.48 million in FY2023 (+388.7%), $187.93 million in FY2022 (+159.8%) and $72.33 million in FY2021 (-51.7%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q4 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 4.9%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 971.3%); the worst was Q3 2021 (a decline of 46.3%).
- Per Business Quant data, ASB's Non Operating Interest Expenses in the three quarters before Q2 2026 was $220.85 million (Q1 2026), $234.36 million (Q4 2025) and $251.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Associated Banc | 5.41 Bn | 4.46 Bn | - | 253.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.26 Mn |
| Mar 31, 2026 | 220.85 Mn |
| Dec 31, 2025 | 234.36 Mn |
| Sep 30, 2025 | 251.37 Mn |
| Jun 30, 2025 | 245.54 Mn |
| Mar 31, 2025 | 240.35 Mn |
| Dec 31, 2024 | 258.44 Mn |
| Sep 30, 2024 | 277.81 Mn |
| Jun 30, 2024 | 273.68 Mn |
| Mar 31, 2024 | 265.53 Mn |
| Dec 31, 2023 | 271.97 Mn |
| Sep 30, 2023 | 254.39 Mn |
| Jun 30, 2023 | 223.31 Mn |
| Mar 31, 2023 | 168.81 Mn |
| Dec 31, 2022 | 102.29 Mn |
| Sep 30, 2022 | 50.27 Mn |
| Jun 30, 2022 | 20.85 Mn |
| Mar 31, 2022 | 14.52 Mn |
| Dec 31, 2021 | 14.96 Mn |
| Sep 30, 2021 | 16.61 Mn |
Associated Banc Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=ASB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ASB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=ASB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();