First Busey (BUSE) Long-Term Debt Issuances (2014 - 2026)
First Busey's Long-Term Debt Issuances came in at $11 million for Q1 2026, down 34.0% from $16.67 million a year earlier and down 52.9% from the prior quarter.
Analysis
First Busey (BUSE) Long-Term Debt Issuances (2014 - 2026) Analysis & Trends
For FY2025, First Busey's Long-Term Debt Issuances was $40 million.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -22.5% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Issuances was $98.09 million in FY2022 (+35.3%) and $72.5 million in FY2021 (-49.2%).
- The Q1 2026 figure represents the lowest quarterly Long-Term Debt Issuances since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 35.57 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 41.85 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 43.25 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 50.25 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 11.31 Bn |
| 10 | First Busey | 2.42 Bn | 742.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.00 Mn |
| Dec 31, 2025 | 23.33 Mn |
| Mar 31, 2025 | 16.67 Mn |
| Dec 31, 2023 | -265.00 Mn |
| Mar 31, 2023 | 265.00 Mn |
| Jun 30, 2022 | 98.09 Mn |
| Jun 30, 2020 | 122.63 Mn |
| Mar 31, 2020 | 20.00 Mn |
| Mar 31, 2019 | 60.00 Mn |
| Dec 31, 2017 | 39.33 Mn |
| Sep 30, 2017 | -36,000.00 |
| Dec 31, 2014 | 20.00 Mn |
API Access
First Busey Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();