First Busey Corp /Nv/ (BUSE) Other Non-Interest Expense (2010 - 2026)
Analysis
First Busey Corp /Nv/ (BUSE) Other Non-Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.28 Mn |
| Mar 31, 2026 | 14.62 Mn |
| Dec 31, 2025 | 20.80 Mn |
| Sep 30, 2025 | 15.45 Mn |
| Jun 30, 2025 | 15.32 Mn |
| Mar 31, 2025 | 12.59 Mn |
| Dec 31, 2024 | 11.42 Mn |
| Sep 30, 2024 | 10.66 Mn |
| Jun 30, 2024 | 12.46 Mn |
| Mar 31, 2024 | 9.53 Mn |
| Dec 31, 2023 | 13.32 Mn |
| Sep 30, 2023 | 13.53 Mn |
| Jun 30, 2023 | 12.08 Mn |
| Mar 31, 2023 | 11.64 Mn |
| Dec 31, 2022 | 14.45 Mn |
| Sep 30, 2022 | 13.69 Mn |
| Jun 30, 2022 | 13.13 Mn |
| Mar 31, 2022 | 14.43 Mn |
| Dec 31, 2021 | 16.35 Mn |
| Sep 30, 2021 | 12.24 Mn |
API Access
First Busey Corp /Nv/ 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=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "ticker": "BUSE", "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=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();