Isabella Bank (ISBA) Weighted Average Shares Outstanding (2009 - 2026)
Isabella Bank (ISBA) reported Weighted Average Shares Outstanding of 7.33 million for Q3 2026, down 0.4% from 7.36 million a year earlier and unchanged from the prior quarter.
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Analysis
Isabella Bank (ISBA) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Isabella Bank posted Weighted Average Shares Outstanding of 7.37 million, down 1.2% from FY2024.
- Weighted Average Shares Outstanding has declined for five consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 7.47 million in FY2024 (-0.6%), 7.51 million in FY2023 (-0.5%), 7.55 million in FY2022 (-3.9%) and 7.85 million in FY2021 (-1.3%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 7.33 million in Q1 2026 and a high of 7.85 million in Q4 2021.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 14 quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q1 2023 (growth of 0.3%); the low point was Q1 2022 (a decline of 5.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 7.33 million (Q2 2026), 7.33 million (Q1 2026) and 7.37 million (Q4 2025).
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 |
|---|---|
| Sep 30, 2026 | 7.64 Mn |
| Jun 30, 2026 | 7.33 Mn |
| Mar 31, 2026 | 7.33 Mn |
| Dec 31, 2025 | 7.37 Mn |
| Sep 30, 2025 | 7.36 Mn |
| Jun 30, 2025 | 7.38 Mn |
| Mar 31, 2025 | 7.42 Mn |
| Dec 31, 2024 | 7.47 Mn |
| Sep 30, 2024 | 7.45 Mn |
| Jun 30, 2024 | 7.48 Mn |
| Mar 31, 2024 | 7.49 Mn |
| Dec 31, 2023 | 7.51 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 7.56 Mn |
| Dec 31, 2022 | 7.55 Mn |
| Sep 30, 2022 | 7.56 Mn |
| Jun 30, 2022 | 7.55 Mn |
| Mar 31, 2022 | 7.53 Mn |
| Dec 31, 2021 | 7.85 Mn |
API Access
Isabella Bank Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();