First Busey (BUSE) Cash Due from Bank (2010 - 2026)
First Busey (BUSE) posted Cash Due from Bank of $182.54 million for Q2 2026, down 15.5% from $216.11 million a year earlier but up 8.0% from the prior quarter.
First Busey (BUSE) Cash Due from Bank (2010 - 2026) Analysis & Trends
At the end of FY2025, First Busey's Cash Due from Bank came in at $181.04 million, up 39.9% from FY2024.
- Annual Cash Due from Bank shows a five-year compound annual growth rate of -23.4% (FY2020 to FY2025).
- In prior years, First Busey's Cash Due from Bank was $129.44 million in FY2024 (-3.9%), $134.68 million in FY2023 (+14.6%), $117.51 million in FY2022 (+14.1%) and $102.98 million in FY2021 (-85.0%).
- Quarterly Cash Due from Bank has run from a low of $93.09 million in Q1 2024 to a high of $883.85 million in Q3 2021 over five years.
- On a year-over-year basis, Cash Due from Bank increased in five of the last eight quarters, with growth averaging 28.7%.
- The strongest year-over-year quarter for Cash Due from Bank in the past five years was Q1 2025, with growth of 104.8%; the weakest was Q3 2022, with a decline of 86.3%.
- According to Business Quant data, Cash Due from Bank for the three prior quarters was $169.04 million (Q1 2026), $181.04 million (Q4 2025) and $193.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 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 | 505.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 42.16 Bn |
| 10 | First Busey | 2.42 Bn | 742.58 Mn | - | 182.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.54 Mn |
| Mar 31, 2026 | 169.04 Mn |
| Dec 31, 2025 | 181.04 Mn |
| Sep 30, 2025 | 193.27 Mn |
| Jun 30, 2025 | 216.11 Mn |
| Mar 31, 2025 | 190.66 Mn |
| Dec 31, 2024 | 129.44 Mn |
| Sep 30, 2024 | 149.85 Mn |
| Jun 30, 2024 | 131.38 Mn |
| Mar 31, 2024 | 93.09 Mn |
| Dec 31, 2023 | 134.68 Mn |
| Sep 30, 2023 | 122.57 Mn |
| Jun 30, 2023 | 141.98 Mn |
| Mar 31, 2023 | 126.58 Mn |
| Dec 31, 2022 | 117.51 Mn |
| Sep 30, 2022 | 121.42 Mn |
| Jun 30, 2022 | 230.85 Mn |
| Mar 31, 2022 | 479.23 Mn |
| Dec 31, 2021 | 102.98 Mn |
| Sep 30, 2021 | 883.85 Mn |
First Busey Cash Due from Bank 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-due-from-bank&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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-due-from-bank&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();