First Busey (BUSE) Total Non-Current Liabilities (2010 - 2026)
First Busey (BUSE) reported Total Non-Current Liabilities of $15.56 billion for Q2 2026, down 4.4% from $16.27 billion a year earlier but up 1.3% from the prior quarter.
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Analysis
First Busey (BUSE) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, First Busey posted Total Non-Current Liabilities of $15.36 billion, up 47.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $10.44 billion in FY2024 (-3.5%), $10.81 billion in FY2023 (-1.6%), $10.99 billion in FY2022 (-3.7%) and $11.41 billion in FY2021 (+24.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $10.39 billion in Q3 2024 and a high of $17.03 billion in Q1 2025.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 24.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2025 (growth of 63.4%); the low point was Q1 2026 (a decline of 9.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.37 billion (Q1 2026), $15.36 billion (Q4 2025) and $15.49 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - | 15.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.56 Bn |
| Mar 31, 2026 | 15.37 Bn |
| Dec 31, 2025 | 15.36 Bn |
| Sep 30, 2025 | 15.49 Bn |
| Jun 30, 2025 | 16.27 Bn |
| Mar 31, 2025 | 17.03 Bn |
| Dec 31, 2024 | 10.44 Bn |
| Sep 30, 2024 | 10.39 Bn |
| Jun 30, 2024 | 10.46 Bn |
| Mar 31, 2024 | 10.43 Bn |
| Dec 31, 2023 | 10.81 Bn |
| Sep 30, 2023 | 10.90 Bn |
| Jun 30, 2023 | 10.81 Bn |
| Mar 31, 2023 | 10.96 Bn |
| Dec 31, 2022 | 10.99 Bn |
| Sep 30, 2022 | 11.19 Bn |
| Jun 30, 2022 | 11.08 Bn |
| Mar 31, 2022 | 11.24 Bn |
| Dec 31, 2021 | 11.41 Bn |
| Sep 30, 2021 | 11.43 Bn |
API Access
First Busey Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();