Skyline Bankshares (SLBK) Professional Fees (2017 - 2026)
Skyline Bankshares (SLBK) posted Professional Fees of $214,000 for Q3 2026, down 29.6% from $304,000 a year earlier and down 4.0% from the prior quarter.
Skyline Bankshares (SLBK) Professional Fees (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Skyline Bankshares was $891,000, down 21.2% year-over-year; for FY2025, it came in at $1.08 million, up 26.6% from FY2024.
- Annual Professional Fees has increased for five consecutive years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In prior years, Skyline Bankshares' Professional Fees was $856,000 in FY2024 (+18.6%), $722,000 in FY2023 (+5.6%), $684,000 in FY2022 (+7.0%) and $639,000 in FY2021 (+38.3%).
- The Q3 2026 figure stands as the lowest quarterly Professional Fees since Q3 2024.
- On a year-over-year basis, Professional Fees has declined in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q4 2021, with growth of 111.5%; the weakest was Q3 2026, with a decline of 29.6%.
- According to Business Quant data, Professional Fees for the three prior quarters was $223,000 (Q2 2026), $224,000 (Q1 2026) and $230,000 (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 | Skyline Bankshares | 155.99 Mn | 155.99 Mn | - | 214,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 214,000.00 |
| Jun 30, 2026 | 223,000.00 |
| Mar 31, 2026 | 224,000.00 |
| Dec 31, 2025 | 230,000.00 |
| Sep 30, 2025 | 304,000.00 |
| Jun 30, 2025 | 248,000.00 |
| Mar 31, 2025 | 302,000.00 |
| Dec 31, 2024 | 276,000.00 |
| Sep 30, 2024 | 188,000.00 |
| Jun 30, 2024 | 171,000.00 |
| Mar 31, 2024 | 221,000.00 |
| Dec 31, 2023 | 194,000.00 |
| Sep 30, 2023 | 151,000.00 |
| Jun 30, 2023 | 156,000.00 |
| Mar 31, 2023 | 221,000.00 |
| Dec 31, 2022 | 200,000.00 |
| Sep 30, 2022 | 144,000.00 |
| Jun 30, 2022 | 172,000.00 |
| Mar 31, 2022 | 168,000.00 |
| Dec 31, 2021 | 184,000.00 |
Skyline Bankshares 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=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "SLBK", "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=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();