Wintrust Financial (WTFC) Tax Provisions (2009 - 2026)
Wintrust Financial's Tax Provisions was $84.27 million in Q2 2026, up 17.8% from $71.56 million a year earlier and up 14.6% from the prior quarter.
Wintrust Financial (WTFC) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wintrust Financial's Tax Provisions was $316.81 million through Jun 30, 2026, up 19.1% year-over-year; for FY2025, it was $294.56 million, up 16.9% from FY2024.
- Tax Provisions has now increased for five consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $252.04 million in FY2024 (+13.3%), $222.46 million in FY2023 (+16.5%), $190.87 million in FY2022 (+11.2%) and $171.65 million in FY2021 (+77.3%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions in data going back to Q2 2009.
- Compared with a year earlier, Tax Provisions has increased for nine straight quarters, with growth averaging 20.7% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2024 (growth of 62.2%); the worst was Q4 2023 (a decline of 17.1%).
- Per Business Quant data, WTFC's Tax Provisions in the three quarters before Q2 2026 was $73.55 million (Q1 2026), $79.2 million (Q4 2025) and $79.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 1.40 Bn |
| 10 | Wintrust Financial | 9.72 Bn | 5.11 Bn | - | 84.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.27 Mn |
| Mar 31, 2026 | 73.55 Mn |
| Dec 31, 2025 | 79.20 Mn |
| Sep 30, 2025 | 79.79 Mn |
| Jun 30, 2025 | 71.56 Mn |
| Mar 31, 2025 | 64.02 Mn |
| Dec 31, 2024 | 67.72 Mn |
| Sep 30, 2024 | 62.71 Mn |
| Jun 30, 2024 | 58.96 Mn |
| Mar 31, 2024 | 62.66 Mn |
| Dec 31, 2023 | 41.76 Mn |
| Sep 30, 2023 | 60.66 Mn |
| Jun 30, 2023 | 56.68 Mn |
| Mar 31, 2023 | 63.35 Mn |
| Dec 31, 2022 | 50.36 Mn |
| Sep 30, 2022 | 57.08 Mn |
| Jun 30, 2022 | 37.15 Mn |
| Mar 31, 2022 | 46.29 Mn |
| Dec 31, 2021 | 38.29 Mn |
| Sep 30, 2021 | 40.61 Mn |
Wintrust Financial Tax Provisions 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=tax-provisions&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();