Wintrust Financial (WTFC) Change in Net Loans (2009 - 2026)
Wintrust Financial (WTFC) reported Change in Net Loans of $1.6 billion for Q2 2026, down 29.6% from $2.27 billion a year earlier but up 60.4% from the prior quarter.
Wintrust Financial (WTFC) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wintrust Financial's Change in Net Loans came in at $4.68 billion, down 8.6% year-over-year; for FY2025, it was $5.04 billion, down 6.8% from FY2024.
- Change in Net Loans has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $5.41 billion in FY2024 (+63.6%), $3.3 billion in FY2023 (-23.5%), $4.32 billion in FY2022 (+105.6%) and $2.1 billion in FY2021 (-60.3%).
- Five-year quarterly Change in Net Loans spans a low of $365.89 million in Q1 2023 and a high of $2.27 billion in Q2 2025.
- Year over year, Change in Net Loans gained in four of the last eight quarters, with growth averaging 8.9%.
- The high point for year-over-year Change in Net Loans in five years was Q4 2021 (growth of 699.5%); the low point was Q1 2022 (a decline of 56.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $998.7 million (Q1 2026), $1.02 billion (Q4 2025) and $1.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Wintrust Financial | 9.57 Bn | 4.97 Bn | - | 1.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Bn |
| Mar 31, 2026 | 998.70 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 2.27 Bn |
| Mar 31, 2025 | 682.84 Mn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.12 Bn |
| Jun 30, 2024 | 2.11 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 658.77 Mn |
| Sep 30, 2023 | 823.75 Mn |
| Jun 30, 2023 | 1.45 Bn |
| Mar 31, 2023 | 365.89 Mn |
| Dec 31, 2022 | 995.92 Mn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.73 Bn |
| Mar 31, 2022 | 472.41 Mn |
| Dec 31, 2021 | 931.49 Mn |
| Sep 30, 2021 | 374.37 Mn |
Wintrust Financial Change in Net Loans 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=change-in-net-loans&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();