Great Southern Bancorp (GSBC) Tax Provisions (2010 - 2026)
Great Southern Bancorp (GSBC) posted Tax Provisions of $2.84 million for Q2 2026, down 36.7% from $4.49 million a year earlier and down 29.3% from the prior quarter.
Great Southern Bancorp (GSBC) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Great Southern Bancorp was $14.4 million, down 6.8% year-over-year; for FY2025, it came in at $16.32 million, up 19.2% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In prior years, Great Southern Bancorp's Tax Provisions was $13.69 million in FY2024 (-22.0%), $17.54 million in FY2023 (-3.9%), $18.25 million in FY2022 (-7.5%) and $19.74 million in FY2021 (+43.2%).
- The Q2 2026 figure stands as the lowest quarterly Tax Provisions since Q1 2020.
- On a year-over-year basis, Tax Provisions increased in four of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2021, with growth of 45.6%; the weakest was Q1 2024, with a decline of 42.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $4.02 million (Q1 2026), $3.19 million (Q4 2025) and $4.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 2.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.84 Mn |
| Mar 31, 2026 | 4.02 Mn |
| Dec 31, 2025 | 3.19 Mn |
| Sep 30, 2025 | 4.35 Mn |
| Jun 30, 2025 | 4.49 Mn |
| Mar 31, 2025 | 4.29 Mn |
| Dec 31, 2024 | 3.04 Mn |
| Sep 30, 2024 | 3.62 Mn |
| Jun 30, 2024 | 3.86 Mn |
| Mar 31, 2024 | 3.16 Mn |
| Dec 31, 2023 | 3.22 Mn |
| Sep 30, 2023 | 4.35 Mn |
| Jun 30, 2023 | 4.49 Mn |
| Mar 31, 2023 | 5.49 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 4.68 Mn |
| Jun 30, 2022 | 4.70 Mn |
| Mar 31, 2022 | 4.38 Mn |
| Dec 31, 2021 | 4.08 Mn |
| Sep 30, 2021 | 5.38 Mn |
Great Southern Bancorp Tax Provisions 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=tax-provisions&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();