Lakeland Financial (LKFN) Interest Expenses (2010 - 2026)
Lakeland Financial's Interest Expenses came in at $36.85 million for Q2 2026, down 6.7% from $39.51 million a year earlier but up 4.6% from the prior quarter.
Lakeland Financial (LKFN) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lakeland Financial reported Interest Expenses of $147.69 million, down 10.2% year-over-year; for FY2025, it was $152.72 million, down 13.5% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 38.4% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $176.48 million in FY2024 (+20.7%), $146.23 million in FY2023 (+298.7%), $36.68 million in FY2022 (+142.4%) and $15.13 million in FY2021 (-49.7%).
- The five-year range for quarterly Interest Expenses is $3.15 million (Q1 2022) to $45.75 million (Q3 2024).
- Year-over-year, Interest Expenses has declined for seven consecutive quarters, with an average decline of 6.8% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2023 (growth of 778.3%), and the weakest in Q3 2021 (a decline of 41.4%).
- Business Quant data shows LKFN's Interest Expenses at $35.21 million (Q1 2026), $36.82 million (Q4 2025) and $38.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Lakeland Financial | 1.43 Bn | 753.85 Mn | - | 36.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.85 Mn |
| Mar 31, 2026 | 35.21 Mn |
| Dec 31, 2025 | 36.82 Mn |
| Sep 30, 2025 | 38.81 Mn |
| Jun 30, 2025 | 39.51 Mn |
| Mar 31, 2025 | 37.58 Mn |
| Dec 31, 2024 | 41.68 Mn |
| Sep 30, 2024 | 45.75 Mn |
| Jun 30, 2024 | 45.44 Mn |
| Mar 31, 2024 | 43.62 Mn |
| Dec 31, 2023 | 42.34 Mn |
| Sep 30, 2023 | 40.23 Mn |
| Jun 30, 2023 | 35.96 Mn |
| Mar 31, 2023 | 27.70 Mn |
| Dec 31, 2022 | 18.52 Mn |
| Sep 30, 2022 | 10.07 Mn |
| Jun 30, 2022 | 4.94 Mn |
| Mar 31, 2022 | 3.15 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | 3.55 Mn |
Lakeland Financial Interest Expenses 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=interest-expenses&ticker=LKFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();