Lakeland Financial (LKFN) Revenue (2010 - 2026)
Lakeland Financial (LKFN) reported Revenue of $70.87 million for Q2 2026, up 6.8% from $66.36 million a year earlier and up 1.7% from the prior quarter.
Lakeland Financial (LKFN) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lakeland Financial's Revenue came in at $279.4 million, up 9.6% year-over-year; for FY2025, it came in at $268.99 million, up 6.1% from FY2024.
- Revenue has increased for 13 consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- By year, Revenue came in at $253.52 million in FY2024 (+2.7%), $246.89 million in FY2023 (+0.9%), $244.75 million in FY2022 (+9.8%) and $222.81 million in FY2021 (+6.2%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2010.
- Year over year, Revenue has now increased in each of the last four quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2022 (growth of 23.1%); the low point was Q3 2023 (a decline of 5.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.71 million (Q1 2026), $69.8 million (Q4 2025) and $69.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 22.62 Bn |
| 10 | Lakeland Financial | 1.43 Bn | 753.85 Mn | - | 70.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.87 Mn |
| Mar 31, 2026 | 69.71 Mn |
| Dec 31, 2025 | 69.80 Mn |
| Sep 30, 2025 | 69.03 Mn |
| Jun 30, 2025 | 66.36 Mn |
| Mar 31, 2025 | 63.80 Mn |
| Dec 31, 2024 | 63.57 Mn |
| Sep 30, 2024 | 61.19 Mn |
| Jun 30, 2024 | 68.74 Mn |
| Mar 31, 2024 | 60.03 Mn |
| Dec 31, 2023 | 65.81 Mn |
| Sep 30, 2023 | 59.23 Mn |
| Jun 30, 2023 | 60.03 Mn |
| Mar 31, 2023 | 61.83 Mn |
| Dec 31, 2022 | 67.36 Mn |
| Sep 30, 2022 | 62.66 Mn |
| Jun 30, 2022 | 59.17 Mn |
| Mar 31, 2022 | 55.57 Mn |
| Dec 31, 2021 | 54.72 Mn |
| Sep 30, 2021 | 56.86 Mn |
Lakeland Financial Revenue 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=revenue&ticker=LKFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();