Hancock Whitney (HWC) EBITDA Margin (2009 - 2026)
Hancock Whitney (HWC) posted EBITDA Margin of 72.40% for Q2 2026, down 2.16 percentage points from 74.56% a year earlier but up 9.60 percentage points from the prior quarter.
Hancock Whitney (HWC) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Hancock Whitney was 72.52%, down 7.54 percentage points year-over-year; for FY2025, it came in at 35.53%, down 0.29 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +34.06 percentage points (FY2020 to FY2025).
- In prior years, Hancock Whitney's EBITDA Margin was 35.81% in FY2024 (+3.06 pp), 32.75% in FY2023 (-9.52 pp), 42.27% in FY2022 (+1.52 pp) and 40.75% in FY2021 (+39.28 pp).
- Quarterly EBITDA Margin has run from a low of 52.63% in Q2 2022 to a high of 86.92% in Q2 2024 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last six quarters, with an average year-over-year change of -4.69 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2023, with a gain of 28.75 percentage points; the weakest was Q1 2026, with a drop of 15.21 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 62.80% (Q1 2026), 75.17% (Q4 2025) and 77.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 139.87% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 142.21% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 92.97% |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 68.19% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.19% |
| Jun 30, 2026 | 73.07% |
| Mar 31, 2026 | 63.99% |
| Dec 31, 2025 | 75.97% |
| Sep 30, 2025 | 78.19% |
| Jun 30, 2025 | 75.46% |
| Mar 31, 2025 | 78.94% |
| Dec 31, 2024 | 83.54% |
| Sep 30, 2024 | 86.15% |
| Jun 30, 2024 | 87.88% |
| Mar 31, 2024 | 85.58% |
| Dec 31, 2023 | 75.55% |
| Sep 30, 2023 | 80.14% |
| Jun 30, 2023 | 82.66% |
| Mar 31, 2023 | 71.94% |
| Dec 31, 2022 | 66.51% |
| Sep 30, 2022 | 57.48% |
| Jun 30, 2022 | 55.63% |
| Mar 31, 2022 | 59.34% |
| Dec 31, 2021 | 61.96% |
Hancock Whitney EBITDA 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=ebitda-margin&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();