First Busey (BUSE) Cash & Equivalents (2013 - 2026)
First Busey's Cash & Equivalents was $665.37 million in Q2 2026, down 9.8% from $737.98 million a year earlier but up 130.7% from the prior quarter.
Powered by 
Analysis
First Busey (BUSE) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at First Busey came in at $280.23 million, down 58.9% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $682.41 million in FY2024 (-5.2%), $719.58 million in FY2023 (+216.8%), $227.16 million in FY2022 (-72.8%) and $836.1 million in FY2021 (+21.4%).
- Quarterly Cash & Equivalents has moved between $227.16 million (Q4 2022) and $1.19 billion (Q1 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with growth averaging 17.9% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2023 (growth of 216.8%); the worst was Q1 2026 (a decline of 75.7%).
- Per Business Quant data, BUSE's Cash & Equivalents in the three quarters before Q2 2026 was $288.46 million (Q1 2026), $280.23 million (Q4 2025) and $385.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First Busey | 2.42 Bn | 742.58 Mn | - | 665.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 665.37 Mn |
| Mar 31, 2026 | 288.46 Mn |
| Dec 31, 2025 | 280.23 Mn |
| Sep 30, 2025 | 385.47 Mn |
| Jun 30, 2025 | 737.98 Mn |
| Mar 31, 2025 | 1.19 Bn |
| Dec 31, 2024 | 682.41 Mn |
| Sep 30, 2024 | 553.71 Mn |
| Jun 30, 2024 | 285.27 Mn |
| Mar 31, 2024 | 591.07 Mn |
| Dec 31, 2023 | 719.58 Mn |
| Sep 30, 2023 | 337.92 Mn |
| Jun 30, 2023 | 232.70 Mn |
| Mar 31, 2023 | 275.57 Mn |
| Dec 31, 2022 | 227.16 Mn |
| Sep 30, 2022 | 347.15 Mn |
| Jun 30, 2022 | 230.85 Mn |
| Mar 31, 2022 | 479.23 Mn |
| Dec 31, 2021 | 836.10 Mn |
| Sep 30, 2021 | 883.85 Mn |
API Access
First Busey Cash & Equivalents 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=cash-and-equivalents&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();