Isabella Bank (ISBA) Income After Tax (2009 - 2026)
Isabella Bank's Income After Tax was $6.18 million in Q2 2026, up 0.1% from $6.17 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Isabella Bank (ISBA) Income After Tax (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Isabella Bank's Income After Tax was $25.25 million through Jun 30, 2026, up 28.2% year-over-year; for FY2025, it was $18.91 million, up 36.2% from FY2024.
- Income After Tax shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Income After Tax was $13.89 million in FY2024 (-23.5%), $18.17 million in FY2023 (-18.3%), $22.24 million in FY2022 (+14.0%) and $19.5 million in FY2021 (+79.1%).
- Quarterly Income After Tax has moved between $3.13 million (Q1 2024) and $6.82 million (Q4 2025) over five years.
- Compared with a year earlier, Income After Tax has increased for seven straight quarters, with growth averaging 31.0% over the last eight quarters.
- The best year-over-year quarter for Income After Tax over five years was Q3 2025 (growth of 63.4%); the worst was Q1 2024 (a decline of 41.2%).
- Per Business Quant data, ISBA's Income After Tax in the three quarters before Q2 2026 was $5.98 million (Q1 2026), $6.82 million (Q4 2025) and $6.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Isabella Bank | 311.50 Mn | 55.04 Mn | - | 6.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.61 Mn |
| Jun 30, 2026 | 5.04 Mn |
| Mar 31, 2026 | 4.99 Mn |
| Dec 31, 2025 | 4.69 Mn |
| Sep 30, 2025 | 5.24 Mn |
| Jun 30, 2025 | 5.03 Mn |
| Mar 31, 2025 | 3.95 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 3.48 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 3.80 Mn |
| Sep 30, 2023 | 4.41 Mn |
| Jun 30, 2023 | 4.63 Mn |
| Mar 31, 2023 | 5.32 Mn |
| Dec 31, 2022 | 6.32 Mn |
| Sep 30, 2022 | 5.89 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 4.73 Mn |
| Dec 31, 2021 | 4.79 Mn |
API Access
Isabella Bank Income After Tax 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=profit-after-tax&ticker=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();