Hancock Whitney (HWC) Return on Sales [ROS] (2009 - 2026)
Hancock Whitney (HWC) posted Return on Sales [ROS] of 70.27% for Q2 2026, down 1.69 percentage points from 71.96% a year earlier but up 10.49 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 70.14%, down 7.20 percentage points year-over-year; for FY2025, it was 33.07%, up 0.14 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +35.55 percentage points (FY2020 to FY2025).
- In prior years, Hancock Whitney's Return on Sales [ROS] was 32.93% in FY2024 (+3.51 pp), 29.42% in FY2023 (-9.55 pp), 38.97% in FY2022 (+1.75 pp) and 37.22% in FY2021 (+39.70 pp).
- Quarterly Return on Sales [ROS] has run from a low of 49.24% in Q2 2022 to a high of 83.98% 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 -4.30 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 28.80 percentage points; the weakest was Q1 2026, with a drop of 15.51 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 59.78% (Q1 2026), 72.91% (Q4 2025) and 75.08% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 65.63% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.63% |
| Jun 30, 2026 | 70.27% |
| Mar 31, 2026 | 59.78% |
| Dec 31, 2025 | 72.91% |
| Sep 30, 2025 | 75.08% |
| Jun 30, 2025 | 71.96% |
| Mar 31, 2025 | 75.29% |
| Dec 31, 2024 | 79.85% |
| Sep 30, 2024 | 82.40% |
| Jun 30, 2024 | 83.98% |
| Mar 31, 2024 | 81.59% |
| Dec 31, 2023 | 71.22% |
| Sep 30, 2023 | 75.63% |
| Jun 30, 2023 | 78.05% |
| Mar 31, 2023 | 67.35% |
| Dec 31, 2022 | 61.76% |
| Sep 30, 2022 | 52.01% |
| Jun 30, 2022 | 49.24% |
| Mar 31, 2022 | 52.20% |
| Dec 31, 2021 | 54.66% |
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();