Hancock Whitney (HWC) EBIT (2009 - 2026)
Hancock Whitney (HWC) reported EBIT of $282.03 million for Q2 2026, up 4.4% from $270.2 million a year earlier and up 61.2% from the prior quarter.
Hancock Whitney (HWC) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hancock Whitney's EBIT came in at $1.03 billion, down 9.5% year-over-year; for FY2025, it was $501.05 million, up 5.2% from FY2024.
- By year, EBIT came in at $476.19 million in FY2024 (+16.8%), $407.73 million in FY2023 (-24.3%), $538.35 million in FY2022 (+11.5%) and $482.95 million in FY2021.
- Five-year quarterly EBIT spans a low of $162.81 million in Q1 2022 and a high of $302.97 million in Q3 2024.
- Year over year, EBIT gained in three of the last eight quarters, with an average decline of 1.1%.
- The high point for year-over-year EBIT in five years was Q2 2023 (growth of 70.8%); the low point was Q1 2026 (a decline of 36.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $174.94 million (Q1 2026), $283.83 million (Q4 2025) and $289.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 19.01 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 282.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 282.03 Mn |
| Mar 31, 2026 | 174.94 Mn |
| Dec 31, 2025 | 283.83 Mn |
| Sep 30, 2025 | 289.62 Mn |
| Jun 30, 2025 | 270.20 Mn |
| Mar 31, 2025 | 274.59 Mn |
| Dec 31, 2024 | 291.25 Mn |
| Sep 30, 2024 | 302.97 Mn |
| Jun 30, 2024 | 301.98 Mn |
| Mar 31, 2024 | 288.85 Mn |
| Dec 31, 2023 | 219.64 Mn |
| Sep 30, 2023 | 268.63 Mn |
| Jun 30, 2023 | 278.73 Mn |
| Mar 31, 2023 | 246.03 Mn |
| Dec 31, 2022 | 230.10 Mn |
| Sep 30, 2022 | 190.17 Mn |
| Jun 30, 2022 | 163.18 Mn |
| Mar 31, 2022 | 162.81 Mn |
| Dec 31, 2021 | 174.31 Mn |
| Sep 30, 2021 | 170.03 Mn |
Hancock Whitney EBIT 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=ebit&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();