Great Southern Bancorp (GSBC) Cash & Equivalents (2010 - 2026)
Great Southern Bancorp (GSBC) recorded Cash & Equivalents of $179.98 million in Q2 2026, down 26.8% from $245.91 million a year earlier and down 4.0% from the prior quarter.
Great Southern Bancorp (GSBC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Great Southern Bancorp reported Cash & Equivalents of $189.55 million, down 3.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $195.76 million in FY2024 (-7.4%), $211.33 million in FY2023 (+25.4%), $168.52 million in FY2022 (-76.5%) and $717.27 million in FY2021 (+27.2%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q1 2024.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 127.4% in Q3 2021, against a decline of 76.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $187.4 million (Q1 2026), $189.55 million (Q4 2025) and $196.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Great Southern Bancorp | 840.39 Mn | 87.21 Mn | - | 179.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.98 Mn |
| Mar 31, 2026 | 187.40 Mn |
| Dec 31, 2025 | 189.55 Mn |
| Sep 30, 2025 | 196.24 Mn |
| Jun 30, 2025 | 245.91 Mn |
| Mar 31, 2025 | 217.18 Mn |
| Dec 31, 2024 | 195.76 Mn |
| Sep 30, 2024 | 208.37 Mn |
| Jun 30, 2024 | 186.47 Mn |
| Mar 31, 2024 | 171.45 Mn |
| Dec 31, 2023 | 211.33 Mn |
| Sep 30, 2023 | 182.32 Mn |
| Jun 30, 2023 | 203.94 Mn |
| Mar 31, 2023 | 184.68 Mn |
| Dec 31, 2022 | 168.52 Mn |
| Sep 30, 2022 | 189.01 Mn |
| Jun 30, 2022 | 195.71 Mn |
| Mar 31, 2022 | 353.04 Mn |
| Dec 31, 2021 | 717.27 Mn |
| Sep 30, 2021 | 769.19 Mn |
Great Southern Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();