Hancock Whitney (HWC) EBITDA (2010 - 2026)
Hancock Whitney (HWC) recorded EBITDA of $290.59 million in Q2 2026, up 3.8% from $279.95 million a year earlier and up 58.1% from the prior quarter.
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Analysis
Hancock Whitney (HWC) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Hancock Whitney's EBITDA came in at $1.07 billion as of Jun 30, 2026, down 9.6% year-over-year; for FY2025, it was $538.32 million, up 3.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 95.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $517.9 million in FY2024 (+14.1%), $454.01 million in FY2023 (-22.3%), $583.99 million in FY2022 (+10.5%) and $528.73 million in FY2021.
- Quarterly EBITDA has ranged from $173.73 million in Q1 2022 to $313.42 million in Q3 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 66.6% in Q2 2023, against a decline of 35.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $183.77 million (Q1 2026), $292.64 million (Q4 2025) and $298.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 290.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.59 Mn |
| Mar 31, 2026 | 183.77 Mn |
| Dec 31, 2025 | 292.64 Mn |
| Sep 30, 2025 | 298.42 Mn |
| Jun 30, 2025 | 279.95 Mn |
| Mar 31, 2025 | 284.50 Mn |
| Dec 31, 2024 | 301.23 Mn |
| Sep 30, 2024 | 313.42 Mn |
| Jun 30, 2024 | 312.56 Mn |
| Mar 31, 2024 | 299.55 Mn |
| Dec 31, 2023 | 230.85 Mn |
| Sep 30, 2023 | 280.11 Mn |
| Jun 30, 2023 | 290.63 Mn |
| Mar 31, 2023 | 257.71 Mn |
| Dec 31, 2022 | 241.76 Mn |
| Sep 30, 2022 | 201.99 Mn |
| Jun 30, 2022 | 174.40 Mn |
| Mar 31, 2022 | 173.73 Mn |
| Dec 31, 2021 | 185.59 Mn |
| Sep 30, 2021 | 181.50 Mn |
API Access
Hancock Whitney EBITDA 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&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();