Wintrust Financial (WTFC) Interest Expenses (2009 - 2026)
Wintrust Financial (WTFC) reported Interest Expenses of $364.05 million for Q2 2026, down 2.7% from $374.21 million a year earlier but up 4.5% from the prior quarter.
Wintrust Financial (WTFC) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wintrust Financial's Interest Expenses came in at $1.48 billion, down 3.1% year-over-year; for FY2025, it came in at $41.91 million, down 15.0% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -30.2% (FY2020 to FY2025).
- By year, Interest Expenses came in at $49.31 million in FY2024 (-8.0%), $53.61 million in FY2023 (+46.8%), $36.52 million in FY2022 (-75.7%) and $150.53 million in FY2021 (-40.5%).
- Five-year quarterly Interest Expenses spans a low of $28.96 million in Q1 2022 and a high of $406.02 million in Q3 2024.
- Year over year, Interest Expenses has now declined in each of the last five quarters, with growth averaging 5.9% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 630.7%); the low point was Q3 2021 (a decline of 36.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $348.54 million (Q1 2026), $372.45 million (Q4 2025) and $396.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 10.97 Bn |
| 10 | Wintrust Financial | 9.72 Bn | 5.11 Bn | - | 364.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 364.05 Mn |
| Mar 31, 2026 | 348.54 Mn |
| Dec 31, 2025 | 372.45 Mn |
| Sep 30, 2025 | 396.82 Mn |
| Jun 30, 2025 | 374.21 Mn |
| Mar 31, 2025 | 360.49 Mn |
| Dec 31, 2024 | 388.35 Mn |
| Sep 30, 2024 | 406.02 Mn |
| Jun 30, 2024 | 379.37 Mn |
| Mar 31, 2024 | 341.32 Mn |
| Dec 31, 2023 | 323.87 Mn |
| Sep 30, 2023 | 300.04 Mn |
| Jun 30, 2023 | 249.64 Mn |
| Mar 31, 2023 | 181.70 Mn |
| Dec 31, 2022 | 123.93 Mn |
| Sep 30, 2022 | 65.03 Mn |
| Jun 30, 2022 | 34.16 Mn |
| Mar 31, 2022 | 28.96 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 34.96 Mn |
Wintrust Financial Interest Expenses 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=interest-expenses&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();