First Busey Corp /Nv/ (BUSE) Subordinated Debt (2010 - 2026)
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Analysis
First Busey Corp /Nv/ (BUSE) Subordinated Debt (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.60 Mn |
| Mar 31, 2026 | 99.50 Mn |
| Dec 31, 2025 | 99.40 Mn |
| Sep 30, 2025 | 103.28 Mn |
| Jun 30, 2025 | 103.17 Mn |
| Mar 31, 2025 | 227.97 Mn |
| Dec 31, 2024 | 227.72 Mn |
| Sep 30, 2024 | 227.48 Mn |
| Jun 30, 2024 | 227.25 Mn |
| Mar 31, 2024 | 223.10 Mn |
| Dec 31, 2023 | 222.88 Mn |
| Sep 30, 2023 | 222.67 Mn |
| Jun 30, 2023 | 222.45 Mn |
| Mar 31, 2023 | 222.25 Mn |
| Dec 31, 2022 | 222.04 Mn |
| Sep 30, 2022 | 221.84 Mn |
| Jun 30, 2022 | 281.30 Mn |
| Mar 31, 2022 | 182.91 Mn |
| Dec 31, 2021 | 182.77 Mn |
| Sep 30, 2021 | 182.64 Mn |
API Access
First Busey Corp /Nv/ Subordinated Debt 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=subordinated-debt&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "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=subordinated-debt&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();