Associated Banc (ASB) Other Operating Expenses (2009 - 2026)
Associated Banc (ASB) posted Other Operating Expenses of $32.87 million for Q2 2026, up 24.0% from $26.51 million a year earlier and up 10.5% from the prior quarter.
Associated Banc (ASB) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Associated Banc was $119.83 million, up 11.1% year-over-year; for FY2025, it was $110.88 million, up 3.1% from FY2024.
- Annual Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Associated Banc's Other Operating Expenses was $107.56 million in FY2024 (+5.4%), $102.02 million in FY2023 (+12.5%), $90.7 million in FY2022 (+11.0%) and $81.69 million in FY2021 (+0.6%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with growth averaging 5.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2026, with growth of 24.0%; the weakest was Q4 2024, with a decline of 3.7%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $29.74 million (Q1 2026), $28.64 million (Q4 2025) and $28.59 million (Q3 2025).
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 | Associated Banc | 5.41 Bn | 4.46 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.87 Mn |
| Mar 31, 2026 | 29.74 Mn |
| Dec 31, 2025 | 28.64 Mn |
| Sep 30, 2025 | 28.59 Mn |
| Jun 30, 2025 | 26.51 Mn |
| Mar 31, 2025 | 27.14 Mn |
| Dec 31, 2024 | 26.98 Mn |
| Sep 30, 2024 | 27.22 Mn |
| Jun 30, 2024 | 27.16 Mn |
| Mar 31, 2024 | 26.20 Mn |
| Dec 31, 2023 | 28.03 Mn |
| Sep 30, 2023 | 26.17 Mn |
| Jun 30, 2023 | 24.22 Mn |
| Mar 31, 2023 | 23.60 Mn |
| Dec 31, 2022 | 25.30 Mn |
| Sep 30, 2022 | 22.69 Mn |
| Jun 30, 2022 | 21.22 Mn |
| Mar 31, 2022 | 21.49 Mn |
| Dec 31, 2021 | 20.79 Mn |
| Sep 30, 2021 | 19.93 Mn |
Associated Banc Other Operating 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=other-operating-expenses&ticker=ASB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ASB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();