Lakeland Financial (LKFN) Change in Net Loans (2010 - 2026)
Lakeland Financial (LKFN) posted Change in Net Loans of $106.29 million for Q2 2026, up 227.2% from $32.49 million a year earlier and up 6.2% from the prior quarter.
Lakeland Financial (LKFN) Change in Net Loans (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Net Loans at Lakeland Financial was $354.46 million, up 72.7% year-over-year; for FY2025, it was $286.17 million, up 40.2% from FY2024.
- Annual Change in Net Loans shows a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In prior years, Lakeland Financial's Change in Net Loans was $204.18 million in FY2024 (-4.1%), $212.91 million in FY2023 (-50.2%), $427.1 million in FY2022 and -$356.66 million in FY2021.
- Quarterly Change in Net Loans has run from a low of -$114.29 million in Q3 2021 to a high of $224.15 million in Q4 2022 over five years.
- On a year-over-year basis, Change in Net Loans increased in four of the last eight quarters, with growth averaging 79.0%.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was Q4 2022, with growth of 317.7%; the weakest was Q3 2023, with a decline of 86.2%.
- According to Business Quant data, Change in Net Loans for the three prior quarters was $100.09 million (Q1 2026), $125.9 million (Q4 2025) and $22.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | -19.63 Bn |
| 10 | Lakeland Financial | 1.44 Bn | 764.79 Mn | - | 106.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.29 Mn |
| Mar 31, 2026 | 100.09 Mn |
| Dec 31, 2025 | 125.90 Mn |
| Sep 30, 2025 | 22.18 Mn |
| Jun 30, 2025 | 32.49 Mn |
| Mar 31, 2025 | 105.60 Mn |
| Dec 31, 2024 | 37.32 Mn |
| Sep 30, 2024 | 29.79 Mn |
| Jun 30, 2024 | 55.73 Mn |
| Mar 31, 2024 | 81.34 Mn |
| Dec 31, 2023 | 46.00 Mn |
| Sep 30, 2023 | 9.06 Mn |
| Jun 30, 2023 | 107.57 Mn |
| Mar 31, 2023 | 50.27 Mn |
| Dec 31, 2022 | 224.15 Mn |
| Sep 30, 2022 | 65.42 Mn |
| Jun 30, 2022 | 70.99 Mn |
| Mar 31, 2022 | 66.54 Mn |
| Dec 31, 2021 | 53.66 Mn |
| Sep 30, 2021 | -114.29 Mn |
Lakeland Financial Change in Net Loans 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=change-in-net-loans&ticker=LKFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();