Isabella Bank (ISBA) Goodwill (2011 - 2025)
Isabella Bank's Goodwill came in at $48.28 million for Q4 2025, unchanged from $48.28 million a year earlier.
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Analysis
Isabella Bank (ISBA) Goodwill (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Isabella Bank's Goodwill data covers 15 quarters.
- Goodwill carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Goodwill was $48.28 million in FY2024 (unchanged), $48.28 million in FY2023 (unchanged), $48.28 million in FY2022 (unchanged) and $48.28 million in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Isabella Bank | 311.50 Mn | 55.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 48.28 Mn |
| Dec 31, 2024 | 48.28 Mn |
| Dec 31, 2023 | 48.28 Mn |
| Dec 31, 2022 | 48.28 Mn |
| Dec 31, 2021 | 48.28 Mn |
| Dec 31, 2020 | 48.28 Mn |
| Dec 31, 2019 | 48.28 Mn |
| Dec 31, 2018 | 48.28 Mn |
| Dec 31, 2017 | 48.28 Mn |
| Dec 31, 2016 | 48.28 Mn |
| Dec 31, 2015 | 48.28 Mn |
| Dec 31, 2014 | 45.62 Mn |
| Dec 31, 2013 | 45.62 Mn |
| Dec 31, 2012 | 45.62 Mn |
| Dec 31, 2011 | 45.62 Mn |
API Access
Isabella Bank Goodwill 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=goodwill&ticker=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "ticker": "ISBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=goodwill&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();