First Busey (BUSE) Retained Earnings (2010 - 2026)
First Busey's Retained Earnings was $395.41 million in Q2 2026, up 44.4% from $273.8 million a year earlier and up 10.1% from the prior quarter.
First Busey (BUSE) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at First Busey came in at $336.71 million, up 14.5% from FY2024.
- Retained Earnings has now increased for five consecutive years, with a five-year compound annual growth rate of 74.5% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $294.05 million in FY2024 (+24.0%), $237.2 million in FY2023 (+40.5%), $168.77 million in FY2022 (+82.5%) and $92.46 million in FY2021 (+343.9%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 19 straight quarters, with growth averaging 20.6% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 0.4% (Q1 2025) and 343.9% (Q4 2021) over the last five years.
- Per Business Quant data, BUSE's Retained Earnings in the three quarters before Q2 2026 was $359.16 million (Q1 2026), $336.71 million (Q4 2025) and $303.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 237.23 Bn |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - | 395.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 395.41 Mn |
| Mar 31, 2026 | 359.16 Mn |
| Dec 31, 2025 | 336.71 Mn |
| Sep 30, 2025 | 303.08 Mn |
| Jun 30, 2025 | 273.80 Mn |
| Mar 31, 2025 | 249.48 Mn |
| Dec 31, 2024 | 294.05 Mn |
| Sep 30, 2024 | 279.87 Mn |
| Jun 30, 2024 | 261.82 Mn |
| Mar 31, 2024 | 248.41 Mn |
| Dec 31, 2023 | 237.20 Mn |
| Sep 30, 2023 | 224.70 Mn |
| Jun 30, 2023 | 207.66 Mn |
| Mar 31, 2023 | 191.92 Mn |
| Dec 31, 2022 | 168.77 Mn |
| Sep 30, 2022 | 147.36 Mn |
| Jun 30, 2022 | 124.69 Mn |
| Mar 31, 2022 | 107.89 Mn |
| Dec 31, 2021 | 92.46 Mn |
| Sep 30, 2021 | 75.64 Mn |
First Busey Retained Earnings 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=retained-earnings&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();