Lkq (LKQ) Current Taxes (2010 - 2020)
Lkq's Current Taxes was $114.2 million in Q2 2020.
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Analysis
Lkq (LKQ) Current Taxes (2010 - 2020) Analysis & Trends
At the end of FY2019, Current Taxes at Lkq came in at $27 million.
- Current Taxes shows a five-year compound annual growth rate of 14.4% (FY2014 to FY2019).
- The Q2 2020 figure marks the highest quarterly Current Taxes in data going back to Q2 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | - |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 253.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 250.00 Mn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 84.92 Mn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | - |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 70.94 Mn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | - |
| 10 | Lkq | 5.49 Bn | 4.25 Bn | 1.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 114.20 Mn |
| Dec 31, 2019 | 27.00 Mn |
| Mar 31, 2015 | 37.06 Mn |
| Dec 31, 2014 | 13.76 Mn |
| Mar 31, 2014 | 27.92 Mn |
| Dec 31, 2013 | 17.44 Mn |
| Sep 30, 2013 | 16.47 Mn |
| Jun 30, 2013 | 9.76 Mn |
| Mar 31, 2013 | 14.43 Mn |
| Dec 31, 2012 | 2.75 Mn |
| Sep 30, 2012 | 7.16 Mn |
| Jun 30, 2012 | 7.76 Mn |
| Mar 31, 2012 | 28.85 Mn |
| Dec 31, 2011 | 7.26 Mn |
| Jun 30, 2011 | 690,000.00 |
| Mar 31, 2011 | 20.75 Mn |
| Sep 30, 2010 | 1.71 Mn |
| Jun 30, 2010 | 8.82 Mn |
API Access
Lkq Current Taxes 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=current-taxes&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();