Isabella Bank Corp (ISBA) Other Non-Interest Expense (2010 - 2026)
Analysis
Isabella Bank Corp (ISBA) Other Non-Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Mn |
| Mar 31, 2026 | 2.07 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.09 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 2.09 Mn |
| Sep 30, 2024 | 2.05 Mn |
| Jun 30, 2024 | 2.07 Mn |
| Mar 31, 2024 | 89,000.00 |
| Dec 31, 2023 | 739,000.00 |
| Sep 30, 2023 | 972,000.00 |
| Jun 30, 2023 | 969,000.00 |
| Mar 31, 2023 | 3.01 Mn |
| Dec 31, 2022 | -2.99 Mn |
| Sep 30, 2022 | 3.14 Mn |
| Jun 30, 2022 | 3.25 Mn |
| Mar 31, 2022 | 2.83 Mn |
| Dec 31, 2021 | 2.79 Mn |
| Sep 30, 2021 | 2.85 Mn |
API Access
Isabella Bank Corp Other Non-Interest 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=other-non-interest-expense&ticker=ISBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-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=other-non-interest-expense&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();