Lakeland Financial (LKFN) Accumulated Expenses (2011 - 2013)
Lakeland Financial (LKFN) posted Accumulated Expenses of $12.77 million for Q3 2013, down 17.2% from $15.41 million a year earlier but up 9.3% from the prior quarter.
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Analysis
Lakeland Financial (LKFN) Accumulated Expenses (2011 - 2013) Analysis & Trends
At the end of FY2012, Lakeland Financial's Accumulated Expenses came in at $15.32 million, up 13.1% from FY2011.
- In prior years, Lakeland Financial's Accumulated Expenses was $13.55 million in FY2011.
- Quarterly Accumulated Expenses has run from a low of $11.69 million in Q2 2013 to a high of $18.12 million in Q1 2013 over five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $11.69 million (Q2 2013), $18.12 million (Q1 2013) and $15.32 million (Q4 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 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 | - |
| 10 | Lakeland Financial | 1.53 Bn | 928.64 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2013 | 12.77 Mn |
| Jun 30, 2013 | 11.69 Mn |
| Mar 31, 2013 | 18.12 Mn |
| Dec 31, 2012 | 15.32 Mn |
| Sep 30, 2012 | 15.41 Mn |
| Jun 30, 2012 | 14.80 Mn |
| Dec 31, 2011 | 13.55 Mn |
API Access
Lakeland Financial Accumulated Expenses 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=accumulated-expenses&ticker=LKFN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LKFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();