Wintrust Financial (WTFC) Provisions (2009 - 2026)
Wintrust Financial (WTFC) posted Provisions of $23.2 million for Q2 2026, up 4.1% from $22.28 million a year earlier but down 21.6% from the prior quarter.
Wintrust Financial (WTFC) Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Wintrust Financial was $102.4 million, up 19.6% year-over-year; for FY2025, it was $95.8 million, down 5.2% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of -14.9% (FY2020 to FY2025).
- In prior years, Wintrust Financial's Provisions was $101.05 million in FY2024 (-11.7%), $114.39 million in FY2023 (+45.6%), $78.59 million in FY2022 and -$59.26 million in FY2021.
- Quarterly Provisions has run from a low of -$7.92 million in Q3 2021 to a high of $47.65 million in Q4 2022 over five years.
- On a year-over-year basis, Provisions has increased in each of the last three quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Provisions in the past five years was Q4 2021, with growth of 688.1%; the weakest was Q4 2024, with a decline of 60.3%.
- According to Business Quant data, Provisions for the three prior quarters was $29.6 million (Q1 2026), $27.8 million (Q4 2025) and $21.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Wintrust Financial | 9.72 Bn | 5.11 Bn | - | 23.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.20 Mn |
| Mar 31, 2026 | 29.60 Mn |
| Dec 31, 2025 | 27.80 Mn |
| Sep 30, 2025 | 21.80 Mn |
| Jun 30, 2025 | 22.28 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 16.98 Mn |
| Sep 30, 2024 | 22.33 Mn |
| Jun 30, 2024 | 40.06 Mn |
| Mar 31, 2024 | 21.70 Mn |
| Dec 31, 2023 | 42.80 Mn |
| Sep 30, 2023 | 19.95 Mn |
| Jun 30, 2023 | 28.57 Mn |
| Mar 31, 2023 | 23.10 Mn |
| Dec 31, 2022 | 47.65 Mn |
| Sep 30, 2022 | 6.42 Mn |
| Jun 30, 2022 | 20.49 Mn |
| Mar 31, 2022 | 4.11 Mn |
| Dec 31, 2021 | 9.30 Mn |
| Sep 30, 2021 | -7.92 Mn |
Wintrust Financial 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=provisions&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "WTFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();