Bank Of Hawaii (BOH) Professional Fees (2009 - 2026)
Bank Of Hawaii (BOH) posted Professional Fees of $5.57 million for Q3 2026, up 38.5% from $4.02 million a year earlier and up 5.6% from the prior quarter.
Bank Of Hawaii (BOH) Professional Fees (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Bank Of Hawaii was $18.76 million, up 6.9% year-over-year; for FY2025, it came in at $16.23 million, down 16.0% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Bank Of Hawaii's Professional Fees was $19.32 million in FY2024 (+10.7%), $17.46 million in FY2023 (+19.9%), $14.56 million in FY2022 (+12.9%) and $12.9 million in FY2021 (+5.8%).
- The Q3 2026 figure stands as the highest quarterly Professional Fees in data going back to Q2 2009.
- On a year-over-year basis, Professional Fees increased in two of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q3 2026, with growth of 38.5%; the weakest was Q4 2025, with a decline of 26.2%.
- According to Business Quant data, Professional Fees for the three prior quarters was $5.28 million (Q2 2026), $4.23 million (Q1 2026) and $3.68 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 | Bank Of Hawaii | 2.76 Bn | 495.48 Mn | - | 5.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.57 Mn |
| Jun 30, 2026 | 5.28 Mn |
| Mar 31, 2026 | 4.23 Mn |
| Dec 31, 2025 | 3.68 Mn |
| Sep 30, 2025 | 4.02 Mn |
| Jun 30, 2025 | 4.26 Mn |
| Mar 31, 2025 | 4.26 Mn |
| Dec 31, 2024 | 4.99 Mn |
| Sep 30, 2024 | 4.73 Mn |
| Jun 30, 2024 | 4.93 Mn |
| Mar 31, 2024 | 4.68 Mn |
| Dec 31, 2023 | 5.08 Mn |
| Sep 30, 2023 | 3.85 Mn |
| Jun 30, 2023 | 4.65 Mn |
| Mar 31, 2023 | 3.88 Mn |
| Dec 31, 2022 | 3.96 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.54 Mn |
| Mar 31, 2022 | 3.26 Mn |
| Dec 31, 2021 | 3.43 Mn |
Bank Of Hawaii 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=BOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BOH", "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=BOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();