Associated Banc (ASB) EBITDA (2009 - 2026)
Associated Banc's EBITDA came in at $428.01 million for Q2 2026, up 8.2% from $395.74 million a year earlier and up 11.3% from the prior quarter.
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Analysis
Associated Banc (ASB) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Associated Banc reported EBITDA of $1.64 billion, up 30.4% year-over-year; for FY2025, it was $1.59 billion, up 27.1% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $1.25 billion in FY2024 (+7.4%), $1.17 billion in FY2023 (+69.0%), $691.06 million in FY2022 (+25.3%) and $551.56 million in FY2021 (+7.6%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2009.
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 41.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 444.1%), and the weakest in Q4 2023 (a decline of 41.6%).
- Business Quant data shows ASB's EBITDA at $384.4 million (Q1 2026), $408.66 million (Q4 2025) and $417.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Associated Banc | 5.47 Bn | 4.52 Bn | - | 428.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428.01 Mn |
| Mar 31, 2026 | 384.40 Mn |
| Dec 31, 2025 | 408.66 Mn |
| Sep 30, 2025 | 417.11 Mn |
| Jun 30, 2025 | 395.74 Mn |
| Mar 31, 2025 | 372.33 Mn |
| Dec 31, 2024 | 91.42 Mn |
| Sep 30, 2024 | 396.67 Mn |
| Jun 30, 2024 | 387.57 Mn |
| Mar 31, 2024 | 377.91 Mn |
| Dec 31, 2023 | 144.58 Mn |
| Sep 30, 2023 | 367.87 Mn |
| Jun 30, 2023 | 344.86 Mn |
| Mar 31, 2023 | 310.28 Mn |
| Dec 31, 2022 | 247.36 Mn |
| Sep 30, 2022 | 183.76 Mn |
| Jun 30, 2022 | 141.77 Mn |
| Mar 31, 2022 | 118.17 Mn |
| Dec 31, 2021 | 118.09 Mn |
| Sep 30, 2021 | 139.32 Mn |
API Access
Associated Banc EBITDA 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=ebitda&ticker=ASB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ASB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();