Great Southern Bancorp (GSBC) Land & Improvements (2020 - 2026)
Great Southern Bancorp (GSBC) recorded Land & Improvements of $38.85 million in Q2 2026, down 1.4% from $39.41 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Great Southern Bancorp (GSBC) Land & Improvements (2020 - 2026) Analysis & Trends
At the end of FY2025, Great Southern Bancorp reported Land & Improvements of $40.25 million, up 2.3% from FY2024.
- Annual Land & Improvements has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $39.34 million in FY2024 (-0.7%), $39.62 million in FY2023 (unchanged), $39.62 million in FY2022 (+0.5%) and $39.44 million in FY2021 (-3.0%).
- The Q2 2026 figure is the lowest quarterly Land & Improvements in data going back to Q4 2020.
- On a year-over-year basis, Land & Improvements rose in five of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Land & Improvements in the last five years was growth of 2.3% in Q4 2025, against a decline of 3.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.24 million (Q1 2026), $40.25 million (Q4 2025) and $39.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Great Southern Bancorp | 840.39 Mn | 87.21 Mn | - | 38.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.85 Mn |
| Mar 31, 2026 | 40.24 Mn |
| Dec 31, 2025 | 40.25 Mn |
| Sep 30, 2025 | 39.64 Mn |
| Jun 30, 2025 | 39.41 Mn |
| Mar 31, 2025 | 39.41 Mn |
| Dec 31, 2024 | 39.34 Mn |
| Sep 30, 2024 | 39.27 Mn |
| Jun 30, 2024 | 39.31 Mn |
| Mar 31, 2024 | 39.27 Mn |
| Dec 31, 2023 | 39.62 Mn |
| Sep 30, 2023 | 39.62 Mn |
| Jun 30, 2023 | 39.62 Mn |
| Mar 31, 2023 | 39.62 Mn |
| Dec 31, 2022 | 39.62 Mn |
| Sep 30, 2022 | 39.62 Mn |
| Jun 30, 2022 | 39.57 Mn |
| Mar 31, 2022 | 39.50 Mn |
| Dec 31, 2021 | 39.44 Mn |
| Sep 30, 2021 | 40.22 Mn |
API Access
Great Southern Bancorp Land & Improvements 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=land-and-improvements&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();