Southside Bancshares (SBSI) Provision for Losses (2009 - 2026)
Southside Bancshares (SBSI) recorded Provision for Losses of $747,000 in Q3 2026, down 31.6% from $1.09 million a year earlier but up 800.0% from the prior quarter.
Southside Bancshares (SBSI) Provision for Losses (2009 - 2026) Analysis & Trends
On a TTM basis, Southside Bancshares' Provision for Losses came in at $2.82 million as of Sep 30, 2026, down 26.8% year-over-year; for FY2025, it came in at $3.05 million, down 8.8% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -31.5% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $3.35 million in FY2024 (-63.4%), $9.15 million in FY2023 (+182.4%), $3.24 million in FY2022 and -$16.96 million in FY2021.
- Quarterly Provision for Losses has ranged from -$3.42 million in Q4 2021 to $6.99 million in Q3 2023 over the past five years.
- On a year-over-year basis, Provision for Losses rose in 1 of the last six quarters, with an average decline of 30.6%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 367.7% in Q3 2023, against a decline of 86.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $83,000 (Q2 2026), $1.41 million (Q1 2026) and $581,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Southside Bancshares | 1.05 Bn | -562.60 Mn | - | 747,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 747,000.00 |
| Jun 30, 2026 | 83,000.00 |
| Mar 31, 2026 | 1.41 Mn |
| Dec 31, 2025 | 581,000.00 |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 622,000.00 |
| Mar 31, 2025 | 758,000.00 |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 2.39 Mn |
| Jun 30, 2024 | -485,000.00 |
| Mar 31, 2024 | 58,000.00 |
| Dec 31, 2023 | 2.28 Mn |
| Sep 30, 2023 | 6.99 Mn |
| Jun 30, 2023 | -74,000.00 |
| Mar 31, 2023 | -40,000.00 |
| Dec 31, 2022 | 2.09 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | -633,000.00 |
| Mar 31, 2022 | 294,000.00 |
| Dec 31, 2021 | -3.42 Mn |
Southside Bancshares Provision for Losses 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=provision-for-losses&ticker=SBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "SBSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=SBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();