Hancock Whitney (HWC) Return on Sales [ROS] (2009 - 2026)
Hancock Whitney (HWC) posted Return on Sales [ROS] of 300.64% for Q2 2026, down 21.94 percentage points from 322.58% a year earlier but up 103.41 percentage points from the prior quarter.
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Analysis
Hancock Whitney (HWC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Hancock Whitney was 286.32%, down 75.22 percentage points year-over-year; for FY2025, it was 147.86%, down 8.72 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +159.60 percentage points (FY2020 to FY2025).
- In prior years, Hancock Whitney's Return on Sales [ROS] was 156.57% in FY2024 (+12.21 pp), 144.37% in FY2023 (-49.52 pp), 193.89% in FY2022 (+26.89 pp) and 167.00% in FY2021 (+178.73 pp).
- Quarterly Return on Sales [ROS] has run from a low of 197.22% in Q1 2026 to a high of 397.81% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last six quarters, with an average year-over-year change of -40.56 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 164.96 percentage points; the weakest was Q1 2026, with a drop of 156.00 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 197.22% (Q1 2026), 322.00% (Q4 2025) and 324.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Hancock Whitney | 5.88 Bn | 3.68 Bn | - | 300.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.64% |
| Mar 31, 2026 | 197.22% |
| Dec 31, 2025 | 322.00% |
| Sep 30, 2025 | 324.58% |
| Jun 30, 2025 | 322.58% |
| Mar 31, 2025 | 353.23% |
| Dec 31, 2024 | 380.82% |
| Sep 30, 2024 | 393.13% |
| Jun 30, 2024 | 397.81% |
| Mar 31, 2024 | 386.81% |
| Dec 31, 2023 | 303.52% |
| Sep 30, 2023 | 380.81% |
| Jun 30, 2023 | 395.89% |
| Mar 31, 2023 | 355.99% |
| Dec 31, 2022 | 338.55% |
| Sep 30, 2022 | 269.71% |
| Jun 30, 2022 | 230.92% |
| Mar 31, 2022 | 237.60% |
| Dec 31, 2021 | 247.13% |
| Sep 30, 2021 | 238.90% |
API Access
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HWC", "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=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();