Isabella Bank (ISBA) Equipment Expense (2009 - 2024)
Isabella Bank's Equipment Expense was $1.68 million in Q1 2024, up 4.9% from $1.6 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Isabella Bank (ISBA) Equipment Expense (2009 - 2024) Analysis & Trends
On a trailing twelve-month basis, Isabella Bank's Equipment Expense was $6.6 million through Mar 31, 2024, up 7.2% year-over-year; for FY2023, it came in at $6.52 million, up 8.5% from FY2022.
- Equipment Expense shows a five-year compound annual growth rate of 1.5% (FY2018 to FY2023).
- In earlier years, Equipment Expense was $6.01 million in FY2022 (+10.0%), $5.46 million in FY2021 (-5.6%), $5.79 million in FY2020 (-1.3%) and $5.87 million in FY2019 (-3.1%).
- Quarterly Equipment Expense has moved between $1.33 million (Q2 2021) and $1.7 million (Q4 2023) over five years.
- Compared with a year earlier, Equipment Expense has increased for nine straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Equipment Expense over five years was Q4 2022 (growth of 14.9%); the worst was Q2 2019 (a decline of 8.3%).
- Per Business Quant data, ISBA's Equipment Expense in the three quarters before Q1 2024 was $1.7 million (Q4 2023), $1.61 million (Q3 2023) and $1.61 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equipment Expense (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 | - | 540.77 Mn |
| 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 |
|---|---|
| Mar 31, 2024 | 1.68 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 1.61 Mn |
| Mar 31, 2023 | 1.60 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.44 Mn |
| Mar 31, 2022 | 1.45 Mn |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 1.35 Mn |
| Jun 30, 2021 | 1.33 Mn |
| Mar 31, 2021 | 1.37 Mn |
| Dec 31, 2020 | 1.47 Mn |
| Sep 30, 2020 | 1.43 Mn |
| Jun 30, 2020 | 1.43 Mn |
| Mar 31, 2020 | 1.46 Mn |
| Dec 31, 2019 | 1.54 Mn |
| Sep 30, 2019 | 1.43 Mn |
| Jun 30, 2019 | 1.41 Mn |
API Access
Isabella Bank Equipment Expense 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=equipment-expense&ticker=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();