Wintrust Financial (WTFC) Other Operating Expenses (2009 - 2026)
Wintrust Financial (WTFC) recorded Other Operating Expenses of $39.29 million in Q2 2026, up 5.5% from $37.24 million a year earlier and up 0.8% from the prior quarter.
Wintrust Financial (WTFC) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Wintrust Financial's Other Operating Expenses came in at $160.73 million as of Jun 30, 2026, up 6.5% year-over-year; for FY2025, it came in at $158.54 million, up 12.2% from FY2024.
- Annual Other Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $141.32 million in FY2024 (+11.5%), $126.72 million in FY2023 (+7.4%), $117.98 million in FY2022 (+16.6%) and $101.14 million in FY2021 (-6.9%).
- Quarterly Other Operating Expenses has ranged from $25.47 million in Q1 2022 to $43.06 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for ten consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 30.1% in Q4 2022, against a decline of 7.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.96 million (Q1 2026), $43.06 million (Q4 2025) and $39.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Wintrust Financial | 9.68 Bn | 5.08 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.29 Mn |
| Mar 31, 2026 | 38.96 Mn |
| Dec 31, 2025 | 43.06 Mn |
| Sep 30, 2025 | 39.42 Mn |
| Jun 30, 2025 | 37.24 Mn |
| Mar 31, 2025 | 38.82 Mn |
| Dec 31, 2024 | 39.09 Mn |
| Sep 30, 2024 | 35.77 Mn |
| Jun 30, 2024 | 33.96 Mn |
| Mar 31, 2024 | 32.50 Mn |
| Dec 31, 2023 | 33.81 Mn |
| Sep 30, 2023 | 29.34 Mn |
| Jun 30, 2023 | 33.42 Mn |
| Mar 31, 2023 | 30.16 Mn |
| Dec 31, 2022 | 34.91 Mn |
| Sep 30, 2022 | 28.26 Mn |
| Jun 30, 2022 | 29.34 Mn |
| Mar 31, 2022 | 25.47 Mn |
| Dec 31, 2021 | 26.84 Mn |
| Sep 30, 2021 | 26.34 Mn |
Wintrust Financial Other Operating 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=other-operating-expenses&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();