Midland States Bancorp (MSBI) Property, Plant & Equipment (Net) (2015 - 2026)
Midland States Bancorp's Property, Plant & Equipment (Net) came in at $82.9 million for Q2 2026, down 3.9% from $86.24 million a year earlier and down 1.5% from the prior quarter.
Midland States Bancorp (MSBI) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Midland States Bancorp's Property, Plant & Equipment (Net) was $85.13 million, down 0.7% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $85.71 million in FY2024 (+3.5%), $82.81 million in FY2023 (+5.8%), $78.29 million in FY2022 (-1.2%) and $79.22 million in FY2021 (+6.9%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q1 2024.
- Year-over-year, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2023 (growth of 15.5%), and the weakest in Q3 2021 (a decline of 5.0%).
- Business Quant data shows MSBI's Property, Plant & Equipment (Net) at $84.17 million (Q1 2026), $85.13 million (Q4 2025) and $86.01 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 | 881.30 Bn | 881.30 Bn | - | 37.70 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 12.79 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.96 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 8.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 11.63 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 7.28 Bn |
| 10 | Midland States Bancorp | 683.54 Mn | -38.79 Mn | - | 82.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.90 Mn |
| Mar 31, 2026 | 84.17 Mn |
| Dec 31, 2025 | 85.13 Mn |
| Sep 30, 2025 | 86.01 Mn |
| Jun 30, 2025 | 86.24 Mn |
| Mar 31, 2025 | 86.72 Mn |
| Dec 31, 2024 | 85.71 Mn |
| Sep 30, 2024 | 84.67 Mn |
| Jun 30, 2024 | 83.04 Mn |
| Mar 31, 2024 | 81.83 Mn |
| Dec 31, 2023 | 82.81 Mn |
| Sep 30, 2023 | 82.74 Mn |
| Jun 30, 2023 | 81.01 Mn |
| Mar 31, 2023 | 80.58 Mn |
| Dec 31, 2022 | 78.29 Mn |
| Sep 30, 2022 | 77.52 Mn |
| Jun 30, 2022 | 77.67 Mn |
| Mar 31, 2022 | 69.75 Mn |
| Dec 31, 2021 | 79.22 Mn |
| Sep 30, 2021 | 71.24 Mn |
Midland States Bancorp 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=MSBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MSBI", "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=MSBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();