Isabella Bank (ISBA) Accumulated Expenses (2010 - 2026)
Isabella Bank (ISBA) posted Accumulated Expenses of $15.5 million for Q2 2026, up 2.45% on a QoQ basis from $15.1 million in Q1 2026, and up 13.5% year-over-year from $13.6 million in Q2 2025.
Isabella Bank (ISBA) Accumulated Expenses (2010 - 2026) Analysis & Trends
Isabella Bank has reported Accumulated Expenses for 9 years, with the latest figure at $15.5 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 13.5% year-over-year to $15.5 million in Q2 2026; TTM through Jun 2026 was $15.5 million, a 13.5% increase from a year earlier, with the FY2025 full-year figure at $15.9 million, changed 0.19% from the prior year.
- Accumulated Expenses was $15.5 million for Q2 2026 at Isabella Bank, up from $15.1 million in the prior quarter.
- The five-year high for Accumulated Expenses was $17.0 million in Q2 2024, with the low at $12.4 million in Q1 2025.
- Average Accumulated Expenses over 4 years is $15.2 million, with a median of $15.4 million recorded in 2024.
- The sharpest annual moves came in 2025 and 2026: Accumulated Expenses retreated 19.99% in 2025, then increased 21.98% in 2026.
- Over 4 years, Accumulated Expenses stood at $16.7 million in 2023, then declined by 4.91% to $15.9 million in 2024, then dropped by 0.19% to $15.9 million in 2025, then decreased by 2.71% to $15.5 million in 2026.
- The last three Accumulated Expenses figures came in at $15.5 million (Q2 2026), $15.1 million (Q1 2026), and $15.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 433.80 Bn | 553.74 Bn | - |
| 2 | Truist Financial | 59.87 Bn | 59.87 Bn | - |
| 3 | Fifth Third Bancorp | 48.33 Bn | 24.61 Bn | - |
| 4 | M&T Bank | 32.77 Bn | 32.77 Bn | - |
| 5 | Huntington Bancshares | 32.41 Bn | 27.92 Bn | - |
| 6 | Citizens Financial | 28.48 Bn | 28.48 Bn | - |
| 7 | Regions Financial | 24.32 Bn | 24.39 Bn | - |
| 8 | Keycorp | 22.28 Bn | -25.41 Bn | - |
| 9 | First Citizens Bancshares | 22.03 Bn | 21.51 Bn | 29.00 Mn |
| 10 | Isabella Bank | 291.42 Mn | 249.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.45 Mn |
| Mar 31, 2026 | 15.08 Mn |
| Dec 31, 2025 | 15.88 Mn |
| Sep 30, 2025 | 15.12 Mn |
| Jun 30, 2025 | 13.62 Mn |
| Mar 31, 2025 | 12.37 Mn |
| Dec 31, 2024 | 15.91 Mn |
| Sep 30, 2024 | 15.25 Mn |
| Jun 30, 2024 | 17.02 Mn |
| Dec 31, 2023 | 16.74 Mn |
| Mar 31, 2014 | 8.93 Mn |
| Dec 31, 2013 | 9.44 Mn |
| Sep 30, 2013 | 8.10 Mn |
| Jun 30, 2013 | 8.24 Mn |
| Mar 31, 2013 | 7.23 Mn |
| Dec 31, 2012 | 7.48 Mn |
| Sep 30, 2012 | 8.92 Mn |
| Jun 30, 2012 | 8.68 Mn |
| Mar 31, 2012 | 8.29 Mn |
| Dec 31, 2011 | 8.84 Mn |
Isabella Bank Accumulated Expenses 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=accumulated-expenses&ticker=ISBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();