Wintrust Financial (WTFC) Rent Expense (2009 - 2026)
Wintrust Financial's Rent Expense came in at $21.15 million for Q2 2026, up 4.6% from $20.23 million a year earlier and up 2.9% from the prior quarter.
Wintrust Financial (WTFC) Rent Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wintrust Financial reported Rent Expense of $82.63 million, up 1.3% year-over-year; for FY2025, it came in at $81.92 million, up 3.4% from FY2024.
- Rent Expense has increased in each of the last three years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Rent Expense was $79.21 million in FY2024 (+2.8%), $77.07 million in FY2023 (+8.6%), $70.97 million in FY2022 (-4.3%) and $74.18 million in FY2021 (+6.0%).
- The Q2 2026 figure represents the highest quarterly Rent Expense since Q3 2023.
- Year-over-year, Rent Expense increased in five of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Rent Expense over five years came in Q3 2023 (growth of 20.2%), and the weakest in Q1 2022 (a decline of 10.9%).
- Business Quant data shows WTFC's Rent Expense at $20.57 million (Q1 2026), $20.11 million (Q4 2025) and $20.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Wintrust Financial | 9.72 Bn | 5.11 Bn | - | 21.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.15 Mn |
| Mar 31, 2026 | 20.57 Mn |
| Dec 31, 2025 | 20.11 Mn |
| Sep 30, 2025 | 20.81 Mn |
| Jun 30, 2025 | 20.23 Mn |
| Mar 31, 2025 | 20.78 Mn |
| Dec 31, 2024 | 20.60 Mn |
| Sep 30, 2024 | 19.95 Mn |
| Jun 30, 2024 | 19.59 Mn |
| Mar 31, 2024 | 19.09 Mn |
| Dec 31, 2023 | 18.10 Mn |
| Sep 30, 2023 | 21.30 Mn |
| Jun 30, 2023 | 19.18 Mn |
| Mar 31, 2023 | 18.49 Mn |
| Dec 31, 2022 | 17.76 Mn |
| Sep 30, 2022 | 17.73 Mn |
| Jun 30, 2022 | 17.65 Mn |
| Mar 31, 2022 | 17.82 Mn |
| Dec 31, 2021 | 18.34 Mn |
| Sep 30, 2021 | 18.16 Mn |
Wintrust Financial Rent Expense 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=rent-expense&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();