Isabella Bank (ISBA) Investment Gain (Loss) (2010 - 2023)
Isabella Bank's Investment Gain (Loss) was $67,000 in FY2023.
Analysis
Isabella Bank (ISBA) Investment Gain (Loss) (2010 - 2023) Analysis & Trends
From FY2009 onward, Isabella Bank has reported Investment Gain (Loss) for 12 years.
- Investment Gain (Loss) shows a four-year compound annual growth rate of 82.8% (FY2019 to FY2023).
- The FY2023 figure marks the highest annual Investment Gain (Loss) since FY2020.
- Per Business Quant data, Investment Gain (Loss) in earlier years was $71,000 in FY2020 and $6,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investment Gain (Loss) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 3.21 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 4.28 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 2.65 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 3.40 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | -219.81 Mn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 2.24 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | -8.61 Mn |
| 10 | Isabella Bank | 295.16 Mn | 15.94 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 66,000.00 |
| Mar 31, 2023 | 1,000.00 |
| Mar 31, 2020 | 71,000.00 |
| Sep 30, 2019 | 6,000.00 |
| Dec 31, 2015 | 163,000.00 |
| Sep 30, 2014 | 97,000.00 |
| Sep 30, 2013 | 72,000.00 |
| Mar 31, 2013 | 99,000.00 |
| Sep 30, 2012 | 116,000.00 |
| Mar 31, 2012 | 1.00 Mn |
| Sep 30, 2010 | 292,000.00 |
API Access
Isabella Bank Investment Gain (Loss) 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=investment-gain-loss&ticker=ISBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "investment-gain-loss", "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=investment-gain-loss&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();