Hancock Whitney (HWC) Operating Margin (2013 - 2016)
Hancock Whitney (HWC) reported Operating Margin of 33.07% for FY2025, up 0.14 percentage points from 32.93% in FY2024.
Analysis
Hancock Whitney (HWC) Operating Margin (2013 - 2016) Analysis & Trends
Dating back to FY2009, Hancock Whitney's Operating Margin record includes 17 years.
- Operating Margin has a five-year change of +35.55 percentage points (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Operating Margin since FY2022.
- According to Business Quant data, Operating Margin came in at 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).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 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 | - | - |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 33.84% |
| Jun 30, 2016 | 33.63% |
| Mar 31, 2016 | 29.03% |
| Dec 31, 2015 | 28.06% |
| Sep 30, 2015 | 29.97% |
| Mar 31, 2015 | 28.07% |
| Sep 30, 2014 | 32.26% |
| Jun 30, 2014 | 28.62% |
| Sep 30, 2013 | 21.95% |
API Access
Hancock Whitney Operating Margin 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=operating-margin&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();