Simmons First National (SFNC) Provision for Losses (2009 - 2026)
Simmons First National (SFNC) reported Provision for Losses of $17.43 million for Q2 2026, up 46.0% from $11.95 million a year earlier and up 19.2% from the prior quarter.
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Analysis
Simmons First National (SFNC) Provision for Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Simmons First National's Provision for Losses came in at $59.14 million, down 7.9% year-over-year; for FY2025, it came in at $65.82 million, up 40.7% from FY2024.
- Provision for Losses has increased for three consecutive years, though with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- By year, Provision for Losses came in at $46.79 million in FY2024 (+11.3%), $42.03 million in FY2023 (+198.6%), $14.07 million in FY2022 and -$32.7 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Provision for Losses since Q1 2025.
- Year over year, Provision for Losses gained in six of the last eight quarters, with growth averaging 34.1%.
- The high point for year-over-year Provision for Losses in five years was Q1 2025 (growth of 162.6%); the low point was Q2 2023 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.62 million (Q1 2026), $15.12 million (Q4 2025) and $11.97 million (Q3 2025).
Peer Set
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 | Simmons First National | 3.42 Bn | 765.02 Mn | - | 12.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.17 Mn |
| Jun 30, 2026 | 17.43 Mn |
| Mar 31, 2026 | 14.62 Mn |
| Dec 31, 2025 | 15.12 Mn |
| Sep 30, 2025 | 11.97 Mn |
| Jun 30, 2025 | 11.95 Mn |
| Mar 31, 2025 | 26.80 Mn |
| Dec 31, 2024 | 13.33 Mn |
| Sep 30, 2024 | 12.15 Mn |
| Jun 30, 2024 | 11.10 Mn |
| Mar 31, 2024 | 10.21 Mn |
| Dec 31, 2023 | 10.03 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | 61,000.00 |
| Mar 31, 2023 | 24.22 Mn |
| Dec 31, 2022 | 26,000.00 |
| Sep 30, 2022 | 103,000.00 |
| Jun 30, 2022 | 33.86 Mn |
| Mar 31, 2022 | -19.91 Mn |
| Dec 31, 2021 | -1.31 Mn |
API Access
Simmons First National 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=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "SFNC", "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=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();