Lakeland Financial (LKFN) Maturities of AFS Securities (2010 - 2026)
Lakeland Financial's Maturities of AFS Securities came in at $20.01 million for Q2 2026, up 20.6% from $16.6 million a year earlier and up 10.4% from the prior quarter.
Lakeland Financial (LKFN) Maturities of AFS Securities (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lakeland Financial reported Maturities of AFS Securities of $73.71 million, up 18.9% year-over-year; for FY2025, it came in at $66.83 million, up 12.0% from FY2024.
- Maturities of AFS Securities carries a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- Going back by year, Maturities of AFS Securities was $59.67 million in FY2024 (-16.9%), $71.83 million in FY2023 (-33.6%), $108.13 million in FY2022 (-21.5%) and $137.81 million in FY2021 (+40.6%).
- The Q2 2026 figure represents the highest quarterly Maturities of AFS Securities since Q4 2022.
- Year-over-year, Maturities of AFS Securities has increased for seven consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- The fastest year-over-year change in Maturities of AFS Securities over five years came in Q3 2021 (growth of 24.3%), and the weakest in Q4 2022 (a decline of 37.5%).
- Business Quant data shows LKFN's Maturities of AFS Securities at $18.12 million (Q1 2026), $18.7 million (Q4 2025) and $16.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.41 Bn | 918.41 Bn | - | 10.12 Bn |
| 2 | Bank Of America | 363.75 Bn | -2,012.36 Bn | - | - |
| 3 | Hsbc Holdings | 314.37 Bn | -1,789.23 Bn | - | - |
| 4 | Morgan Stanley | 293.50 Bn | -250.53 Bn | - | 6.75 Bn |
| 5 | Royal Bank Of Canada | 287.90 Bn | -542.14 Bn | - | - |
| 6 | Goldman Sachs | 268.46 Bn | -3,474.99 Bn | - | 813.00 Mn |
| 7 | Wells Fargo & Company | 259.60 Bn | 259.60 Bn | - | 6.74 Bn |
| 8 | Mitsubishi Ufj Financial | 247.14 Bn | -94.25 Bn | 10.89 Bn | - |
| 9 | American Express | 219.05 Bn | 18.53 Bn | - | 272.00 Mn |
| 10 | Lakeland Financial | 1.57 Bn | 963.68 Mn | - | 24.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.50 Mn |
| Jun 30, 2026 | 20.01 Mn |
| Mar 31, 2026 | 18.12 Mn |
| Dec 31, 2025 | 18.70 Mn |
| Sep 30, 2025 | 16.88 Mn |
| Jun 30, 2025 | 16.60 Mn |
| Mar 31, 2025 | 14.66 Mn |
| Dec 31, 2024 | 15.10 Mn |
| Sep 30, 2024 | 15.65 Mn |
| Jun 30, 2024 | 15.38 Mn |
| Mar 31, 2024 | 13.54 Mn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 17.94 Mn |
| Jun 30, 2023 | 19.39 Mn |
| Mar 31, 2023 | 19.50 Mn |
| Dec 31, 2022 | 22.13 Mn |
| Sep 30, 2022 | 26.38 Mn |
| Jun 30, 2022 | 29.97 Mn |
| Mar 31, 2022 | 29.65 Mn |
| Dec 31, 2021 | 35.41 Mn |
Lakeland Financial Maturities of AFS Securities 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=maturities-of-afs-securities&ticker=LKFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "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=maturities-of-afs-securities&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();