Lakeland Financial (LKFN) Cash & Equivalents (2010 - 2026)
Lakeland Financial (LKFN) reported Cash & Equivalents of $115.77 million for Q3 2026, down 40.0% from $192.84 million a year earlier and down 40.4% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lakeland Financial posted Cash & Equivalents of $141.32 million, down 16.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $168.21 million in FY2024 (+10.8%), $151.82 million in FY2023 (+16.5%), $130.28 million in FY2022 (-80.9%) and $683.24 million in FY2021 (+173.4%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q4 2019.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with growth averaging 14.7% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 173.4%); the low point was Q4 2022 (a decline of 80.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $194.13 million (Q2 2026), $151.32 million (Q1 2026) and $141.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 249.64 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 222.46 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 45.78 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 138.67 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 176.77 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 43.20 Bn |
| 10 | Lakeland Financial | 1.53 Bn | 928.64 Mn | - | 115.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.77 Mn |
| Jun 30, 2026 | 194.13 Mn |
| Mar 31, 2026 | 151.32 Mn |
| Dec 31, 2025 | 141.32 Mn |
| Sep 30, 2025 | 192.84 Mn |
| Jun 30, 2025 | 310.18 Mn |
| Mar 31, 2025 | 235.22 Mn |
| Dec 31, 2024 | 168.21 Mn |
| Sep 30, 2024 | 160.19 Mn |
| Jun 30, 2024 | 121.18 Mn |
| Mar 31, 2024 | 147.69 Mn |
| Dec 31, 2023 | 151.82 Mn |
| Sep 30, 2023 | 146.28 Mn |
| Jun 30, 2023 | 173.14 Mn |
| Mar 31, 2023 | 153.52 Mn |
| Dec 31, 2022 | 130.28 Mn |
| Sep 30, 2022 | 204.80 Mn |
| Jun 30, 2022 | 169.52 Mn |
| Mar 31, 2022 | 475.02 Mn |
| Dec 31, 2021 | 683.24 Mn |
API Access
Lakeland Financial Cash & Equivalents 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=cash-and-equivalents&ticker=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();