Huntington Bancshares (HBAN) Professional Fees (2009 - 2026)
Huntington Bancshares' Professional Fees was $38 million in Q3 2026, up 22.6% from $31 million a year earlier and up 22.6% from the prior quarter.
Huntington Bancshares (HBAN) Professional Fees (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huntington Bancshares' Professional Fees was $193 million through Sep 30, 2026, up 141.3% year-over-year; for FY2025, it came in at $155 million, up 56.6% from FY2024.
- Professional Fees shows a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- In earlier years, Professional Fees was $99 million in FY2024 (unchanged), $99 million in FY2023 (+28.6%), $77 million in FY2022 (-31.9%) and $113 million in FY2021 (+105.5%).
- Quarterly Professional Fees has moved between $5 million (Q4 2024) and $80 million (Q4 2025) over five years.
- Compared with a year earlier, Professional Fees has increased for three straight quarters, with growth averaging 19.6% over the last seven quarters.
- The best year-over-year quarter for Professional Fees over five years was Q1 2024 (growth of 116.0%); the worst was Q4 2024 (a decline of 61.5%).
- Per Business Quant data, HBAN's Professional Fees in the three quarters before Q3 2026 was $31 million (Q2 2026), $44 million (Q1 2026) and $80 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Huntington Bancshares | 31.92 Bn | 26.87 Bn | - | 38.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.00 Mn |
| Jun 30, 2026 | 31.00 Mn |
| Mar 31, 2026 | 44.00 Mn |
| Dec 31, 2025 | 80.00 Mn |
| Sep 30, 2025 | 31.00 Mn |
| Jun 30, 2025 | 22.00 Mn |
| Mar 31, 2025 | 22.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 15.00 Mn |
| Jun 30, 2024 | 25.00 Mn |
| Mar 31, 2024 | 54.00 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 29.00 Mn |
| Jun 30, 2023 | 32.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 24.00 Mn |
| Mar 31, 2022 | 21.00 Mn |
| Dec 31, 2021 | 22.00 Mn |
Huntington Bancshares 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=HBAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "HBAN", "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=HBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();