Lakeland Financial (LKFN) Professional Fees (2013 - 2026)
Lakeland Financial (LKFN) posted Professional Fees of $2.12 million for Q3 2026, up 23.0% from $1.73 million a year earlier and up 18.9% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) Professional Fees (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Lakeland Financial was $7.73 million, down 4.4% year-over-year; for FY2025, it came in at $7.7 million, down 14.0% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In prior years, Lakeland Financial's Professional Fees was $8.95 million in FY2024 (+4.3%), $8.58 million in FY2023 (+32.4%), $6.48 million in FY2022 (-8.2%) and $7.06 million in FY2021 (+32.9%).
- The Q3 2026 figure stands as the highest quarterly Professional Fees since Q1 2025.
- On a year-over-year basis, Professional Fees increased in two of the last eight quarters, with an average decline of 6.2%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q2 2023, with growth of 44.9%; the weakest was Q2 2022, with a decline of 23.1%.
- According to Business Quant data, Professional Fees for the three prior quarters was $1.79 million (Q2 2026), $1.94 million (Q1 2026) and $1.89 million (Q4 2025).
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 | Lakeland Financial | 1.53 Bn | 928.64 Mn | - | 2.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.12 Mn |
| Jun 30, 2026 | 1.79 Mn |
| Mar 31, 2026 | 1.94 Mn |
| Dec 31, 2025 | 1.89 Mn |
| Sep 30, 2025 | 1.73 Mn |
| Jun 30, 2025 | 1.71 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.12 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 2.11 Mn |
| Jun 30, 2023 | 2.05 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 1.96 Mn |
| Sep 30, 2022 | 1.55 Mn |
| Jun 30, 2022 | 1.41 Mn |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 2.01 Mn |
API Access
Lakeland Financial 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=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "LKFN", "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=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();