Great Southern Bancorp (GSBC) Property, Plant & Equipment (Net) (2010 - 2026)
Great Southern Bancorp's Property, Plant & Equipment (Net) was $132.84 million in Q2 2026, down 1.1% from $134.34 million a year earlier but up 0.5% from the prior quarter.
Great Southern Bancorp (GSBC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Great Southern Bancorp came in at $133.26 million, up 0.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $132.47 million in FY2024 (-4.4%), $138.59 million in FY2023 (-1.8%), $141.07 million in FY2022 (+6.3%) and $132.73 million in FY2021 (-4.6%).
- Quarterly Property, Plant & Equipment (Net) has moved between $131.74 million (Q1 2022) and $141.49 million (Q1 2023) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in two of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2023 (growth of 7.4%); the worst was Q3 2024 (a decline of 4.7%).
- Per Business Quant data, GSBC's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $132.11 million (Q1 2026), $133.26 million (Q4 2025) and $133.77 million (Q3 2025).
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 | Great Southern Bancorp | 862.81 Mn | 109.64 Mn | - | 132.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.84 Mn |
| Mar 31, 2026 | 132.11 Mn |
| Dec 31, 2025 | 133.26 Mn |
| Sep 30, 2025 | 133.77 Mn |
| Jun 30, 2025 | 134.34 Mn |
| Mar 31, 2025 | 132.17 Mn |
| Dec 31, 2024 | 132.47 Mn |
| Sep 30, 2024 | 133.31 Mn |
| Jun 30, 2024 | 134.53 Mn |
| Mar 31, 2024 | 136.28 Mn |
| Dec 31, 2023 | 138.59 Mn |
| Sep 30, 2023 | 139.89 Mn |
| Jun 30, 2023 | 140.56 Mn |
| Mar 31, 2023 | 141.49 Mn |
| Dec 31, 2022 | 141.07 Mn |
| Sep 30, 2022 | 139.41 Mn |
| Jun 30, 2022 | 136.15 Mn |
| Mar 31, 2022 | 131.74 Mn |
| Dec 31, 2021 | 132.73 Mn |
| Sep 30, 2021 | 134.81 Mn |
Great Southern 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=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GSBC", "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=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();