Wintrust Financial (WTFC) Return on Sales [ROS] (2009 - 2026)
Wintrust Financial's Return on Sales [ROS] was 92.33% in Q2 2026, down 3.27 percentage points from 95.60% a year earlier but up 1.26 percentage points from the prior quarter.
Wintrust Financial (WTFC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wintrust Financial's Return on Sales [ROS] was 94.24% through Jun 30, 2026, down 287.64 percentage points year-over-year; for FY2025, it was 174.32%, down 8.02 percentage points from FY2024.
- Return on Sales [ROS] has now declined for four consecutive years, with a five-year change of -203.57 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 182.34% in FY2024 (-24.01 pp), 206.35% in FY2023 (-132.19 pp), 338.55% in FY2022 (-41.97 pp) and 380.52% in FY2021 (+2.63 pp).
- Quarterly Return on Sales [ROS] has moved between 75.16% (Q1 2023) and 611.31% (Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -43.51 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 306.45 percentage points); the worst was Q3 2023 (a drop of 384.38 percentage points).
- Per Business Quant data, WTFC's Return on Sales [ROS] in the three quarters before Q2 2026 was 91.07% (Q1 2026), 94.46% (Q4 2025) and 99.29% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Wintrust Financial | 9.68 Bn | 5.08 Bn | - | 92.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.33% |
| Mar 31, 2026 | 91.07% |
| Dec 31, 2025 | 94.46% |
| Sep 30, 2025 | 99.29% |
| Jun 30, 2025 | 95.60% |
| Mar 31, 2025 | 95.40% |
| Dec 31, 2024 | 450.57% |
| Sep 30, 2024 | 103.74% |
| Jun 30, 2024 | 99.82% |
| Mar 31, 2024 | 97.77% |
| Dec 31, 2023 | 436.34% |
| Sep 30, 2023 | 91.31% |
| Jun 30, 2023 | 82.25% |
| Mar 31, 2023 | 75.16% |
| Dec 31, 2022 | 611.31% |
| Sep 30, 2022 | 475.69% |
| Jun 30, 2022 | 300.17% |
| Mar 31, 2022 | 371.46% |
| Dec 31, 2021 | 304.85% |
| Sep 30, 2021 | 347.06% |
Wintrust Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WTFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WTFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();