Hancock Whitney (HWC) EBT (2009 - 2026)
Hancock Whitney (HWC) recorded EBT of $162.15 million in Q2 2026, up 12.2% from $144.58 million a year earlier and up 176.1% from the prior quarter.
Hancock Whitney (HWC) EBT (2009 - 2026) Analysis & Trends
On a TTM basis, Hancock Whitney's EBT came in at $539.52 million as of Jun 30, 2026, down 8.5% year-over-year; for FY2025, it came in at $612.4 million, up 6.7% from FY2024.
- Across earlier years, EBT came in at $573.97 million in FY2024 (+17.1%), $490.13 million in FY2023 (-25.6%), $659.2 million in FY2022 (+16.0%) and $568.06 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBT since Q4 2022.
- On a year-over-year basis, EBT rose in six of the last eight quarters, with growth averaging 17.4%.
- Peak year-over-year performance for EBT in the last five years was growth of 141.6% in Q4 2024, against a decline of 65.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $58.73 million (Q1 2026), $158.31 million (Q4 2025) and $160.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 11.57 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 7.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.56 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 7.02 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 8.56 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 8.05 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 162.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.15 Mn |
| Mar 31, 2026 | 58.73 Mn |
| Dec 31, 2025 | 158.31 Mn |
| Sep 30, 2025 | 160.34 Mn |
| Jun 30, 2025 | 144.58 Mn |
| Mar 31, 2025 | 149.18 Mn |
| Dec 31, 2024 | 150.52 Mn |
| Sep 30, 2024 | 145.26 Mn |
| Jun 30, 2024 | 144.87 Mn |
| Mar 31, 2024 | 133.33 Mn |
| Dec 31, 2023 | 62.31 Mn |
| Sep 30, 2023 | 122.04 Mn |
| Jun 30, 2023 | 147.37 Mn |
| Mar 31, 2023 | 158.42 Mn |
| Dec 31, 2022 | 179.92 Mn |
| Sep 30, 2022 | 170.74 Mn |
| Jun 30, 2022 | 154.05 Mn |
| Mar 31, 2022 | 154.48 Mn |
| Dec 31, 2021 | 164.85 Mn |
| Sep 30, 2021 | 160.32 Mn |
Hancock Whitney EBT 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=ebt&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();