Stifel Financial (SF) Provision for Credit Losses (2009 - 2026)
Stifel Financial (SF) reported Provision for Credit Losses of $12.54 million for Q2 2026, up 50.6% from $8.33 million a year earlier and up 63.1% from the prior quarter.
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Analysis
Stifel Financial (SF) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stifel Financial's Provision for Credit Losses came in at $40.29 million, up 8.4% year-over-year; for FY2025, it was $40.47 million, up 46.2% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $27.68 million in FY2024 (+8.2%), $25.59 million in FY2023 (-23.6%), $33.51 million in FY2022 and -$11.5 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Provision for Credit Losses since Q1 2025.
- Year over year, Provision for Credit Losses gained in five of the last eight quarters, with growth averaging 51.0%.
- The high point for year-over-year Provision for Credit Losses in five years was Q4 2024 (growth of 212.9%); the low point was Q4 2023 (a decline of 90.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.69 million (Q1 2026), $11.26 million (Q4 2025) and $8.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 915.60 Bn | 915.60 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 361.78 Bn | -2,014.33 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 312.31 Bn | -1,791.29 Bn | - | - |
| 4 | Morgan Stanley | 292.39 Bn | -251.64 Bn | - | 103.00 Mn |
| 5 | Royal Bank Of Canada | 286.75 Bn | -543.30 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 267.58 Bn | -3,475.87 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 258.30 Bn | 258.30 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 246.40 Bn | -94.99 Bn | 10.89 Bn | - |
| 9 | American Express | 218.77 Bn | 18.25 Bn | - | 985.00 Mn |
| 10 | Stifel Financial | 11.15 Bn | -4.43 Bn | - | 7.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.93 Mn |
| Jun 30, 2026 | 12.54 Mn |
| Mar 31, 2026 | 7.69 Mn |
| Dec 31, 2025 | 11.26 Mn |
| Sep 30, 2025 | 8.81 Mn |
| Jun 30, 2025 | 8.33 Mn |
| Mar 31, 2025 | 12.55 Mn |
| Dec 31, 2024 | 7.08 Mn |
| Sep 30, 2024 | 9.21 Mn |
| Jun 30, 2024 | 6.83 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Dec 31, 2023 | 2.26 Mn |
| Sep 30, 2023 | 13.42 Mn |
| Jun 30, 2023 | 7.82 Mn |
| Mar 31, 2023 | 5.38 Mn |
| Dec 31, 2022 | 23.78 Mn |
| Sep 30, 2022 | 6.45 Mn |
| Jun 30, 2022 | 12.79 Mn |
| Mar 31, 2022 | 8.24 Mn |
| Dec 31, 2021 | 1.03 Mn |
API Access
Stifel Financial Provision for Credit 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-credit-losses&ticker=SF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "SF", "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-credit-losses&ticker=SF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();