Wintrust Financial (WTFC) EBT (2009 - 2026)
Wintrust Financial (WTFC) posted EBT of $317.96 million for Q2 2026, up 19.0% from $267.09 million a year earlier and up 5.7% from the prior quarter.
Wintrust Financial (WTFC) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Wintrust Financial was $1.22 billion, up 21.0% year-over-year; for FY2025, it came in at $1.12 billion, up 18.1% from FY2024.
- Annual EBT has increased for five consecutive years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- In prior years, Wintrust Financial's EBT was $947.09 million in FY2024 (+12.1%), $845.08 million in FY2023 (+20.6%), $700.56 million in FY2022 (+9.8%) and $637.8 million in FY2021 (+63.6%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q2 2009.
- On a year-over-year basis, EBT has increased in each of the last eight quarters, with growth averaging 21.1% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q2 2023, with growth of 60.6%; the weakest was Q1 2022, with a decline of 16.0%.
- According to Business Quant data, EBT for the three prior quarters was $300.94 million (Q1 2026), $302.22 million (Q4 2025) and $296.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 11.57 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 7.35 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 5.56 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 7.02 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 8.56 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 8.05 Bn |
| 10 | Wintrust Financial | 9.72 Bn | 5.11 Bn | - | 317.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.96 Mn |
| Mar 31, 2026 | 300.94 Mn |
| Dec 31, 2025 | 302.22 Mn |
| Sep 30, 2025 | 296.04 Mn |
| Jun 30, 2025 | 267.09 Mn |
| Mar 31, 2025 | 253.06 Mn |
| Dec 31, 2024 | 253.08 Mn |
| Sep 30, 2024 | 232.71 Mn |
| Jun 30, 2024 | 211.34 Mn |
| Mar 31, 2024 | 249.96 Mn |
| Dec 31, 2023 | 165.24 Mn |
| Sep 30, 2023 | 224.86 Mn |
| Jun 30, 2023 | 211.43 Mn |
| Mar 31, 2023 | 243.55 Mn |
| Dec 31, 2022 | 195.17 Mn |
| Sep 30, 2022 | 200.04 Mn |
| Jun 30, 2022 | 131.66 Mn |
| Mar 31, 2022 | 173.68 Mn |
| Dec 31, 2021 | 137.05 Mn |
| Sep 30, 2021 | 149.74 Mn |
Wintrust Financial EBT 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=ebt&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();