Lakeland Financial (LKFN) Shares Outstanding (Entity) (2010 - 2026)
Lakeland Financial (LKFN) reported Shares Outstanding (Entity) of 24.86 million for Q2 2026, down 2.6% from 25.53 million a year earlier and down 0.3% from the prior quarter.
Lakeland Financial (LKFN) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Lakeland Financial posted Shares Outstanding (Entity) of 25.22 million, down 1.1% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 25.51 million in FY2024 (+0.3%), 25.43 million in FY2023 (+0.3%), 25.35 million in FY2022 (+0.2%) and 25.3 million in FY2021 (+0.2%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Entity) since Q4 2015.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last three quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2023 (growth of 0.3%); the low point was Q2 2026 (a decline of 2.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 24.93 million (Q1 2026), 25.22 million (Q4 2025) and 25.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.03 Bn |
| 10 | Lakeland Financial | 1.43 Bn | 753.85 Mn | - | 24.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.86 Mn |
| Mar 31, 2026 | 24.93 Mn |
| Dec 31, 2025 | 25.22 Mn |
| Sep 30, 2025 | 25.53 Mn |
| Jun 30, 2025 | 25.53 Mn |
| Mar 31, 2025 | 25.56 Mn |
| Dec 31, 2024 | 25.51 Mn |
| Sep 30, 2024 | 25.51 Mn |
| Jun 30, 2024 | 25.50 Mn |
| Mar 31, 2024 | 25.50 Mn |
| Dec 31, 2023 | 25.43 Mn |
| Sep 30, 2023 | 25.43 Mn |
| Jun 30, 2023 | 25.43 Mn |
| Mar 31, 2023 | 25.43 Mn |
| Dec 31, 2022 | 25.35 Mn |
| Sep 30, 2022 | 25.35 Mn |
| Jun 30, 2022 | 25.35 Mn |
| Mar 31, 2022 | 25.35 Mn |
| Dec 31, 2021 | 25.30 Mn |
| Sep 30, 2021 | 25.30 Mn |
Lakeland Financial Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=LKFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();