First National (FXNC) Professional Fees (2009 - 2026)
First National's Professional Fees was $646,000 in Q3 2026, down 2.1% from $660,000 a year earlier and down 12.9% from the prior quarter.
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Analysis
First National (FXNC) Professional Fees (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, First National's Professional Fees was $2.74 million through Sep 30, 2026, up 71.8% year-over-year; for FY2025, it came in at $2.44 million, up 22.5% from FY2024.
- Professional Fees has now increased for three consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier years, Professional Fees was $1.99 million in FY2024 (+21.0%), $1.65 million in FY2023 (+16.5%), $1.41 million in FY2022 (-44.3%) and $2.54 million in FY2021 (+120.2%).
- The Q3 2026 figure marks the lowest quarterly Professional Fees since Q2 2025.
- Compared with a year earlier, Professional Fees was higher in four of the last six quarters, with growth averaging 5.6%.
- The best year-over-year quarter for Professional Fees over five years was Q2 2024 (growth of 166.4%); the worst was Q1 2022 (a decline of 54.8%).
- Per Business Quant data, FXNC's Professional Fees in the three quarters before Q3 2026 was $742,000 (Q2 2026), $688,000 (Q1 2026) and $667,000 (Q4 2025).
Peer Set
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 | First National | 273.54 Mn | 273.54 Mn | - | 646,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 646,000.00 |
| Jun 30, 2026 | 742,000.00 |
| Mar 31, 2026 | 688,000.00 |
| Dec 31, 2025 | 667,000.00 |
| Sep 30, 2025 | 660,000.00 |
| Jun 30, 2025 | 594,000.00 |
| Mar 31, 2025 | 522,000.00 |
| Dec 31, 2024 | -179,000.00 |
| Sep 30, 2024 | 596,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 452,000.00 |
| Dec 31, 2023 | 443,000.00 |
| Sep 30, 2023 | 439,000.00 |
| Jun 30, 2023 | 422,000.00 |
| Mar 31, 2023 | 343,000.00 |
| Dec 31, 2022 | 339,000.00 |
| Sep 30, 2022 | 361,000.00 |
| Jun 30, 2022 | 381,000.00 |
| Mar 31, 2022 | 333,000.00 |
| Dec 31, 2021 | 731,000.00 |
API Access
First 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=FXNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "FXNC", "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=FXNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();