Associated Banc (ASB) Change in Net Loans (2009 - 2026)
Associated Banc's Change in Net Loans came in at $937.21 million for Q2 2026, up 166.4% from $351.85 million a year earlier and up 42.8% from the prior quarter.
Associated Banc (ASB) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Associated Banc reported Change in Net Loans of $2.18 billion, up 19.6% year-over-year; for FY2025, it was $1.45 billion, up 8.6% from FY2024.
- Change in Net Loans carries a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Going back by year, Change in Net Loans was $1.33 billion in FY2024 (-13.7%), $1.55 billion in FY2023 (-66.2%), $4.58 billion in FY2022 and -$198.63 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Change in Net Loans since Q4 2022.
- Year-over-year, Change in Net Loans increased in six of the last eight quarters, with growth averaging 97.5%.
- The fastest year-over-year change in Change in Net Loans over five years came in Q4 2024 (growth of 392.8%), and the weakest in Q4 2023 (a decline of 88.9%).
- Business Quant data shows ASB's Change in Net Loans at $656.12 million (Q1 2026), $224.69 million (Q4 2025) and $359.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Associated Banc | 5.41 Bn | 4.46 Bn | - | 937.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 937.21 Mn |
| Mar 31, 2026 | 656.12 Mn |
| Dec 31, 2025 | 224.69 Mn |
| Sep 30, 2025 | 359.64 Mn |
| Jun 30, 2025 | 351.85 Mn |
| Mar 31, 2025 | 513.24 Mn |
| Dec 31, 2024 | 539.55 Mn |
| Sep 30, 2024 | 416.13 Mn |
| Jun 30, 2024 | 156.27 Mn |
| Mar 31, 2024 | 222.66 Mn |
| Dec 31, 2023 | 109.49 Mn |
| Sep 30, 2023 | 381.98 Mn |
| Jun 30, 2023 | 640.66 Mn |
| Mar 31, 2023 | 414.27 Mn |
| Dec 31, 2022 | 984.10 Mn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.97 Bn |
| Mar 31, 2022 | 305.88 Mn |
| Dec 31, 2021 | 605.87 Mn |
| Sep 30, 2021 | -326.33 Mn |
Associated Banc Change in Net Loans 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=change-in-net-loans&ticker=ASB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=ASB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();