Hancock Whitney (HWC) EBITDA Margin (2010 - 2026)
Hancock Whitney (HWC) posted EBITDA Margin of 309.76% for Q2 2026, down 24.46 percentage points from 334.22% a year earlier but up 102.58 percentage points from the prior quarter.
Hancock Whitney (HWC) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Hancock Whitney was 296.04%, down 78.22 percentage points year-over-year; for FY2025, it came in at 158.85%, down 11.44 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +151.89 percentage points (FY2020 to FY2025).
- In prior years, Hancock Whitney's EBITDA Margin was 170.29% in FY2024 (+9.54 pp), 160.75% in FY2023 (-49.57 pp), 210.32% in FY2022 (+27.50 pp) and 182.82% in FY2021 (+175.86 pp).
- Quarterly EBITDA Margin has run from a low of 207.18% in Q1 2026 to a high of 412.80% in Q2 2023 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 -43.20 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 165.99 percentage points; the weakest was Q1 2026, with a drop of 158.79 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 207.18% (Q1 2026), 331.99% (Q4 2025) and 334.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 309.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 309.76% |
| Mar 31, 2026 | 207.18% |
| Dec 31, 2025 | 331.99% |
| Sep 30, 2025 | 334.45% |
| Jun 30, 2025 | 334.22% |
| Mar 31, 2025 | 365.97% |
| Dec 31, 2024 | 393.87% |
| Sep 30, 2024 | 406.69% |
| Jun 30, 2024 | 411.75% |
| Mar 31, 2024 | 401.14% |
| Dec 31, 2023 | 319.01% |
| Sep 30, 2023 | 397.09% |
| Jun 30, 2023 | 412.80% |
| Mar 31, 2023 | 372.88% |
| Dec 31, 2022 | 355.70% |
| Sep 30, 2022 | 286.48% |
| Jun 30, 2022 | 246.80% |
| Mar 31, 2022 | 253.54% |
| Dec 31, 2021 | 263.13% |
| Sep 30, 2021 | 255.02% |
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();