First Busey (BUSE) EBITDA (2010 - 2026)
First Busey's EBITDA was $161.7 million in Q2 2026, down 3.1% from $166.8 million a year earlier but up 13.0% from the prior quarter.
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Analysis
First Busey (BUSE) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Busey's EBITDA was $642.22 million through Jun 30, 2026, up 62.9% year-over-year; for FY2025, it came in at $540.43 million, up 44.5% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $373.93 million in FY2024 (+12.0%), $333.75 million in FY2023 (+51.4%), $220.4 million in FY2022 (+5.2%) and $209.41 million in FY2021 (+7.0%).
- Quarterly EBITDA has moved between $36.15 million (Q1 2025) and $174.6 million (Q3 2025) over five years.
- Compared with a year earlier, EBITDA was higher in six of the last eight quarters, with growth averaging 60.2%.
- The best year-over-year quarter for EBITDA over five years was Q1 2026 (growth of 295.7%); the worst was Q1 2025 (a decline of 59.7%).
- Per Business Quant data, BUSE's EBITDA in the three quarters before Q2 2026 was $143.04 million (Q1 2026), $162.88 million (Q4 2025) and $174.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - | 161.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.70 Mn |
| Mar 31, 2026 | 143.04 Mn |
| Dec 31, 2025 | 162.88 Mn |
| Sep 30, 2025 | 174.60 Mn |
| Jun 30, 2025 | 166.80 Mn |
| Mar 31, 2025 | 36.15 Mn |
| Dec 31, 2024 | 91.89 Mn |
| Sep 30, 2024 | 99.41 Mn |
| Jun 30, 2024 | 92.93 Mn |
| Mar 31, 2024 | 89.71 Mn |
| Dec 31, 2023 | 89.70 Mn |
| Sep 30, 2023 | 87.28 Mn |
| Jun 30, 2023 | 80.07 Mn |
| Mar 31, 2023 | 76.70 Mn |
| Dec 31, 2022 | 65.67 Mn |
| Sep 30, 2022 | 58.72 Mn |
| Jun 30, 2022 | 48.74 Mn |
| Mar 31, 2022 | 47.91 Mn |
| Dec 31, 2021 | 51.93 Mn |
| Sep 30, 2021 | 46.07 Mn |
API Access
First Busey EBITDA 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=ebitda&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();