First Busey (BUSE) Property, Plant & Equipment (Net) (2010 - 2026)
First Busey's Property, Plant & Equipment (Net) came in at $191.95 million for Q2 2026, up 5.8% from $181.39 million a year earlier but down 0.7% from the prior quarter.
First Busey (BUSE) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, First Busey's Property, Plant & Equipment (Net) was $193.44 million, up 62.8% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $118.82 million in FY2024 (-3.1%), $122.59 million in FY2023 (-3.1%), $126.52 million in FY2022 (-7.1%) and $136.15 million in FY2021 (+0.7%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $118.82 million (Q4 2024) to $193.44 million (Q4 2025).
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 28.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 62.8%), and the weakest in Q2 2022 (a decline of 10.0%).
- Business Quant data shows BUSE's Property, Plant & Equipment (Net) at $193.32 million (Q1 2026), $193.44 million (Q4 2025) and $190.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | First Busey | 2.47 Bn | 792.49 Mn | - | 191.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.95 Mn |
| Mar 31, 2026 | 193.32 Mn |
| Dec 31, 2025 | 193.44 Mn |
| Sep 30, 2025 | 190.72 Mn |
| Jun 30, 2025 | 181.39 Mn |
| Mar 31, 2025 | 182.00 Mn |
| Dec 31, 2024 | 118.82 Mn |
| Sep 30, 2024 | 120.28 Mn |
| Jun 30, 2024 | 121.65 Mn |
| Mar 31, 2024 | 121.51 Mn |
| Dec 31, 2023 | 122.59 Mn |
| Sep 30, 2023 | 122.54 Mn |
| Jun 30, 2023 | 122.67 Mn |
| Mar 31, 2023 | 126.52 Mn |
| Dec 31, 2022 | 126.52 Mn |
| Sep 30, 2022 | 128.18 Mn |
| Jun 30, 2022 | 130.89 Mn |
| Mar 31, 2022 | 133.66 Mn |
| Dec 31, 2021 | 136.15 Mn |
| Sep 30, 2021 | 142.03 Mn |
First Busey Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();