Lakeland Financial (LKFN) Provision for Losses (2010 - 2026)
Lakeland Financial's Provision for Losses was $1.71 million in Q2 2026, down 43.1% from $3 million a year earlier and down 14.6% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) Provision for Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lakeland Financial's Provision for Losses was $5.71 million through Jun 30, 2026, down 65.5% year-over-year; for FY2025, it was $11.8 million, down 29.6% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $16.75 million in FY2024 (+186.3%), $5.85 million in FY2023 (-37.6%), $9.38 million in FY2022 (+770.5%) and $1.08 million in FY2021 (-92.7%).
- The Q2 2026 figure marks the lowest quarterly Provision for Losses since Q1 2024.
- Compared with a year earlier, Provision for Losses was higher in two of the last six quarters, with growth averaging 133.2%.
- The best year-over-year quarter for Provision for Losses over five years was Q2 2024 (growth of 960.0%); the worst was Q4 2023 (a decline of 96.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.30 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Lakeland Financial | 1.53 Bn | 928.64 Mn | - | 1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.20 Mn |
| Jun 30, 2026 | 1.71 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 6.80 Mn |
| Dec 31, 2024 | 3.69 Mn |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 8.48 Mn |
| Mar 31, 2024 | 1.52 Mn |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 400,000.00 |
| Jun 30, 2023 | 800,000.00 |
| Mar 31, 2023 | 4.35 Mn |
| Dec 31, 2022 | 8.96 Mn |
| Mar 31, 2022 | 417,000.00 |
| Sep 30, 2021 | 1.30 Mn |
| Jun 30, 2021 | -1.70 Mn |
| Mar 31, 2021 | 1.48 Mn |
| Dec 31, 2020 | 920,000.00 |
API Access
Lakeland Financial Provision for Losses 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=provision-for-losses&ticker=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();