Hancock Whitney (HWC) Revenue (2009 - 2026)
Hancock Whitney (HWC) posted Revenue of $401.36 million for Q2 2026, up 6.9% from $375.48 million a year earlier and up 37.1% from the prior quarter.
Hancock Whitney (HWC) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Hancock Whitney was $1.47 billion, down 0.2% year-over-year; for FY2025, it came in at $1.52 billion, up 4.8% from FY2024.
- Annual Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Revenue was $1.45 billion in FY2024 (+4.3%), $1.39 billion in FY2023 (+0.3%), $1.38 billion in FY2022 (+6.5%) and $1.3 billion in FY2021 (+2.4%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2009.
- On a year-over-year basis, Revenue increased in seven of the last eight quarters, with growth averaging 3.5%.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2024, with growth of 18.3%; the weakest was Q1 2026, with a decline of 19.8%.
- According to Business Quant data, Revenue for the three prior quarters was $292.65 million (Q1 2026), $389.3 million (Q4 2025) and $385.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 18.68 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 5.05 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 21.87 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 420.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 420.12 Mn |
| Jun 30, 2026 | 401.36 Mn |
| Mar 31, 2026 | 292.65 Mn |
| Dec 31, 2025 | 389.30 Mn |
| Sep 30, 2025 | 385.74 Mn |
| Jun 30, 2025 | 375.48 Mn |
| Mar 31, 2025 | 364.70 Mn |
| Dec 31, 2024 | 364.77 Mn |
| Sep 30, 2024 | 367.66 Mn |
| Jun 30, 2024 | 359.60 Mn |
| Mar 31, 2024 | 354.02 Mn |
| Dec 31, 2023 | 308.41 Mn |
| Sep 30, 2023 | 355.21 Mn |
| Jun 30, 2023 | 357.14 Mn |
| Mar 31, 2023 | 365.32 Mn |
| Dec 31, 2022 | 372.57 Mn |
| Sep 30, 2022 | 365.64 Mn |
| Jun 30, 2022 | 331.39 Mn |
| Mar 31, 2022 | 311.90 Mn |
| Dec 31, 2021 | 318.91 Mn |
Hancock Whitney Revenue 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=revenue&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();