Lakeland Financial (LKFN) EBITDA (2010 - 2026)
Lakeland Financial's EBITDA was $73.15 million in Q2 2026, down 1.2% from $74.01 million a year earlier but up 5.4% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lakeland Financial's EBITDA was $289.71 million through Jun 30, 2026, up 1.8% year-over-year; for FY2025, it was $284.28 million, down 3.3% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $294.12 million in FY2024 (+11.9%), $262.74 million in FY2023 (+55.8%), $168.62 million in FY2022 (+19.6%) and $140.96 million in FY2021 (+0.1%).
- Quarterly EBITDA has moved between $33.07 million (Q1 2022) and $79.57 million (Q4 2023) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with an average decline of 1.2%.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 73.6%); the worst was Q1 2025 (a decline of 13.2%).
- Per Business Quant data, LKFN's EBITDA in the three quarters before Q2 2026 was $69.37 million (Q1 2026), $74.7 million (Q4 2025) and $72.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Lakeland Financial | 1.43 Bn | 753.85 Mn | - | 73.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.15 Mn |
| Mar 31, 2026 | 69.37 Mn |
| Dec 31, 2025 | 74.70 Mn |
| Sep 30, 2025 | 72.51 Mn |
| Jun 30, 2025 | 74.01 Mn |
| Mar 31, 2025 | 63.41 Mn |
| Dec 31, 2024 | 72.01 Mn |
| Sep 30, 2024 | 75.08 Mn |
| Jun 30, 2024 | 73.97 Mn |
| Mar 31, 2024 | 73.06 Mn |
| Dec 31, 2023 | 79.57 Mn |
| Sep 30, 2023 | 71.62 Mn |
| Jun 30, 2023 | 54.13 Mn |
| Mar 31, 2023 | 57.42 Mn |
| Dec 31, 2022 | 51.18 Mn |
| Sep 30, 2022 | 46.50 Mn |
| Jun 30, 2022 | 37.87 Mn |
| Mar 31, 2022 | 33.07 Mn |
| Dec 31, 2021 | 35.24 Mn |
| Sep 30, 2021 | 35.64 Mn |
API Access
Lakeland Financial EBITDA 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=ebitda&ticker=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();