First Busey Corp /Nv/ (BUSE) Short-Term Borrowings (2016 - 2026)
Analysis
First Busey Corp /Nv/ (BUSE) Short-Term Borrowings (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.33 Mn |
| Mar 31, 2026 | 170.00 Mn |
| Mar 31, 2025 | 11.21 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Jun 30, 2023 | 212.00 Mn |
| Mar 31, 2023 | 615.88 Mn |
| Dec 31, 2022 | 351.05 Mn |
| Sep 30, 2022 | 16.23 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 17.68 Mn |
| Dec 31, 2021 | 17.68 Mn |
| Sep 30, 2021 | 17.67 Mn |
| Jun 30, 2021 | 30.17 Mn |
| Mar 31, 2021 | 4.70 Mn |
| Dec 31, 2020 | 4.66 Mn |
| Sep 30, 2020 | 4.70 Mn |
| Jun 30, 2020 | 24.65 Mn |
| Mar 31, 2020 | 21.36 Mn |
| Dec 31, 2019 | 8.55 Mn |
API Access
First Busey Corp /Nv/ Short-Term Borrowings 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=short-term-borrowings&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-borrowings", "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=short-term-borrowings&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();