Lakeland Financial (LKFN) Capital Expenditures (2010 - 2026)
Lakeland Financial (LKFN) recorded Capital Expenditures of $5.25 million in Q2 2026, up 147.5% from $2.12 million a year earlier and up 11.3% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Lakeland Financial's Capital Expenditures came in at $17.18 million as of Jun 30, 2026, up 100.3% year-over-year; for FY2025, it came in at $11.12 million, up 28.8% from FY2024.
- Annual Capital Expenditures has increased for three straight years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $8.63 million in FY2024 (+44.1%), $5.99 million in FY2023 (+24.3%), $4.82 million in FY2022 (-21.8%) and $6.17 million in FY2021 (+7.8%).
- The Q2 2026 figure is the highest quarterly Capital Expenditures in data going back to Q3 2010.
- On a year-over-year basis, Capital Expenditures has increased for four consecutive quarters, with growth averaging 80.1% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 163.9% in Q1 2026, against a decline of 49.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.72 million (Q1 2026), $2.2 million (Q4 2025) and $5.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 819.00 Mn |
| 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 | - | 502.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Lakeland Financial | 1.43 Bn | 753.85 Mn | - | 5.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 4.72 Mn |
| Dec 31, 2025 | 2.20 Mn |
| Sep 30, 2025 | 5.01 Mn |
| Jun 30, 2025 | 2.12 Mn |
| Mar 31, 2025 | 1.79 Mn |
| Dec 31, 2024 | 1.99 Mn |
| Sep 30, 2024 | 2.68 Mn |
| Jun 30, 2024 | 2.43 Mn |
| Mar 31, 2024 | 1.54 Mn |
| Dec 31, 2023 | 981,000.00 |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 1.14 Mn |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 1.22 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 902,000.00 |
| Sep 30, 2021 | 1.97 Mn |
API Access
Lakeland Financial Capital Expenditures 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=capital-expenditures&ticker=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();