Camden National (CAC) Professional Fees (2010 - 2026)
Camden National's Professional Fees came in at $888,000 for Q3 2026, up 9.6% from $810,000 a year earlier but down 36.8% from the prior quarter.
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Analysis
Camden National (CAC) Professional Fees (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Camden National reported Professional Fees of $4.21 million, down 4.3% year-over-year; for FY2025, it came in at $4.62 million, up 28.9% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Professional Fees was $3.58 million in FY2024 (-20.7%), $4.52 million in FY2023 (+11.0%), $4.07 million in FY2022 (+10.3%) and $3.69 million in FY2021 (-3.7%).
- The five-year range for quarterly Professional Fees is $786,000 (Q4 2024) to $1.5 million (Q1 2025).
- Year-over-year, Professional Fees increased in six of the last eight quarters, with growth averaging 7.8%.
- The fastest year-over-year change in Professional Fees over five years came in Q1 2025 (growth of 74.2%), and the weakest in Q1 2026 (a decline of 38.5%).
- Business Quant data shows CAC's Professional Fees at $1.41 million (Q2 2026), $921,000 (Q1 2026) and $999,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.90 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 606.00 Mn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 411.67 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 700.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 424.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.17 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Camden National | 981.05 Mn | 981.05 Mn | - | 888,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 888,000.00 |
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 921,000.00 |
| Dec 31, 2025 | 999,000.00 |
| Sep 30, 2025 | 810,000.00 |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.50 Mn |
| Dec 31, 2024 | 786,000.00 |
| Sep 30, 2024 | 788,000.00 |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 860,000.00 |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 897,000.00 |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 959,000.00 |
| Sep 30, 2022 | 814,000.00 |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 1.01 Mn |
| Dec 31, 2021 | 1.04 Mn |
API Access
Camden National 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=CAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "CAC", "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=CAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();