Lakeland Financial Corporation: total assets
Lakeland Financial total assets: $6.99 billion at 2025-12-31, up 4.7% on the year. 16 values since 2010, each linked to its SEC filing. In original units.
All Lakeland Financial Corporation financial histories
At a glance
Lakeland Financial reported total assets of $6.99 billion at 2025-12-31, up 4.7% from $6.68 billion a year earlier. From 2010 to 2025 it grew at a compound 6.6% a year, from $2.68 billion to $6.99 billion. Across the last five reported years it ranged from $6.43 billion (2022-12-31) to $6.99 billion (2025-12-31).
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Resources recognized on the balance sheet. Book assets are not the market value of the business.
Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 6,990,022,000 | USD | 2026-02-25 | 10-K · 0000721994-26-000018 SEC |
| - | 2024-12-31 | 6,678,374,000 | USD | 2026-02-25 | 10-K · 0000721994-26-000018 SEC |
| - | 2023-12-31 | 6,524,029,000 | USD | 2025-02-19 | 10-K · 0000721994-25-000087 SEC |
| - | 2022-12-31 | 6,432,371,000 | USD | 2024-02-21 | 10-K · 0000721994-24-000013 SEC |
| - | 2021-12-31 | 6,557,323,000 | USD | 2023-02-22 | 10-K · 0000721994-23-000014 SEC |
| - | 2020-12-31 | 5,830,435,000 | USD | 2022-02-23 | 10-K · 0000721994-22-000024 SEC |
| - | 2019-12-31 | 4,946,745,000 | USD | 2021-02-23 | 10-K · 0001104659-21-026486 SEC |
| - | 2018-12-31 | 4,875,254,000 | USD | 2020-02-24 | 10-K · 0001104659-20-024065 SEC |
| - | 2017-12-31 | 4,682,976,000 | USD | 2019-02-28 | 10-K · 0000721994-19-000011 SEC |
| - | 2016-12-31 | 4,290,025,000 | USD | 2018-03-01 | 10-K · 0000721994-18-000014 SEC |
| - | 2015-12-31 | 3,766,286,000 | USD | 2017-03-01 | 10-K · 0000721994-17-000013 SEC |
| - | 2014-12-31 | 3,443,284,000 | USD | 2016-03-03 | 10-K · 0000721994-16-000054 SEC |
| - | 2013-12-31 | 3,175,764,000 | USD | 2015-03-05 | 10-K · 0000721994-15-000012 SEC |
| - | 2012-12-31 | 3,064,144,000 | USD | 2014-03-03 | 10-K · 0000721994-14-000010 SEC |
| - | 2011-12-31 | 2,889,688,000 | USD | 2013-03-04 | 10-K · 0000721994-13-000008 SEC |
| - | 2010-12-31 | 2,681,926,000 | USD | 2012-03-05 | 10-K · 0000721994-12-000016 SEC |
Related LAKELAND FINANCIAL CORPORATION histories
Inspect the source
- Entity
- LAKELAND FINANCIAL CORPORATION / CIK 0000721994
- Captured
- SEC response SHA-256
7847283f83837b2d0d6fdbf41c28b99ff28b930f6577439999950b9fd86b63b0
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000721994.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))