First Busey Corp /Nv/ (BUSE) Purchase of AFS Securities (2010 - 2026)
Analysis
First Busey Corp /Nv/ (BUSE) Purchase of AFS Securities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.07 Mn |
| Mar 31, 2026 | 140.49 Mn |
| Dec 31, 2025 | 160.87 Mn |
| Sep 30, 2025 | 8.86 Mn |
| Jun 30, 2025 | 40.12 Mn |
| Mar 31, 2025 | 336.43 Mn |
| Dec 31, 2024 | 151.45 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 27.37 Mn |
| Mar 31, 2024 | 780,000.00 |
| Dec 31, 2023 | 2.64 Mn |
| Jun 30, 2023 | 5.35 Mn |
| Mar 31, 2023 | 2.45 Mn |
| Dec 31, 2022 | 252,000.00 |
| Jun 30, 2022 | 4.87 Mn |
| Mar 31, 2022 | 274.96 Mn |
| Dec 31, 2021 | 249.50 Mn |
| Sep 30, 2021 | 773.76 Mn |
| Jun 30, 2021 | 484.91 Mn |
| Mar 31, 2021 | 789.88 Mn |
API Access
First Busey Corp /Nv/ Purchase of AFS Securities 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=purchase-of-afs-securities&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-of-afs-securities", "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=purchase-of-afs-securities&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();