Hancock Whitney (HWC) Professional Fees (2009 - 2026)
Hancock Whitney (HWC) posted Professional Fees of $14.54 million for Q2 2026, down 11.2% from $16.37 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Professional Fees (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Professional Fees at Hancock Whitney was $56.61 million, up 8.8% year-over-year; for FY2025, it was $57.08 million, up 36.1% from FY2024.
- Annual Professional Fees has increased for three consecutive years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Professional Fees was $41.94 million in FY2024 (+9.4%), $38.33 million in FY2023 (+6.3%), $36.07 million in FY2022 (-25.9%) and $48.68 million in FY2021 (-1.7%).
- Quarterly Professional Fees has run from a low of $7.79 million in Q1 2022 to a high of $16.37 million in Q2 2025 over five years.
- On a year-over-year basis, Professional Fees increased in seven of the last eight quarters, with growth averaging 22.8%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q2 2025, with growth of 73.1%; the weakest was Q2 2022, with a decline of 37.5%.
- According to Business Quant data, Professional Fees for the three prior quarters was $13.6 million (Q1 2026), $15.1 million (Q4 2025) and $13.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 23.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.52 Mn |
| Jun 30, 2026 | 14.54 Mn |
| Mar 31, 2026 | 13.60 Mn |
| Dec 31, 2025 | 15.10 Mn |
| Sep 30, 2025 | 13.38 Mn |
| Jun 30, 2025 | 16.37 Mn |
| Mar 31, 2025 | 12.24 Mn |
| Dec 31, 2024 | 12.46 Mn |
| Sep 30, 2024 | 10.98 Mn |
| Jun 30, 2024 | 9.46 Mn |
| Mar 31, 2024 | 9.04 Mn |
| Dec 31, 2023 | 10.77 Mn |
| Sep 30, 2023 | 9.52 Mn |
| Jun 30, 2023 | 8.92 Mn |
| Mar 31, 2023 | 9.13 Mn |
| Dec 31, 2022 | 10.17 Mn |
| Sep 30, 2022 | 9.68 Mn |
| Jun 30, 2022 | 8.42 Mn |
| Mar 31, 2022 | 7.79 Mn |
| Dec 31, 2021 | 11.21 Mn |
API Access
Hancock Whitney Professional Fees 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=professional-fees&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();