Lkq (LKQ) Change in Accured Expenses (2013 - 2014)
Lkq (LKQ) posted Change in Accured Expenses of $32.18 million for FY2014, up 38.4% from $23.26 million in FY2013.
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Analysis
Lkq (LKQ) Change in Accured Expenses (2013 - 2014) Analysis & Trends
Since FY2009, Lkq has reported Change in Accured Expenses for 6 years.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 28.7% (FY2009 to FY2014).
- The FY2014 figure stands as the highest annual Change in Accured Expenses in data going back to FY2009.
- Business Quant data shows LKQ's Change in Accured Expenses at $23.26 million in FY2013 (+953.3%), $2.21 million in FY2012, -$3.3 million in FY2011 and $8.06 million in FY2010 (-11.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 111.71 Mn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 199.00 Mn |
| 10 | Lkq | 4.45 Bn | 3.21 Bn | 1.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 4.53 Mn |
| Sep 30, 2014 | 24.11 Mn |
| Jun 30, 2014 | 143,000.00 |
| Mar 31, 2014 | 3.40 Mn |
| Dec 31, 2013 | -25.63 Mn |
| Sep 30, 2013 | 37.54 Mn |
| Jun 30, 2013 | 7.74 Mn |
| Mar 31, 2013 | 3.60 Mn |
API Access
Lkq Change in Accured 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=change-in-accured-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LKQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();