Lkq (LKQ) Net Equity Issued and Repurchased (2009 - 2019)
Lkq (LKQ) reported Net Equity Issued and Repurchased of $1.33 million for Q1 2019, down 40.8% from $2.26 million a year earlier and down 12.9% from the prior quarter.
Lkq (LKQ) Net Equity Issued and Repurchased (2009 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Lkq's Net Equity Issued and Repurchased came in at $4.38 million, down 39.7% year-over-year; for FY2018, it came in at $5.3 million, down 29.0% from FY2017.
- Net Equity Issued and Repurchased has a five-year compound annual growth rate of -61.2% (FY2013 to FY2018).
- By year, Net Equity Issued and Repurchased came in at $7.47 million in FY2017 (-98.7%), $563.45 million in FY2016, $8.17 million in FY2015 (-12.4%) and $9.32 million in FY2014 (-98.4%).
- Five-year quarterly Net Equity Issued and Repurchased spans a low of $634,000 in Q4 2015 and a high of $555.93 million in Q4 2016.
- Year over year, Net Equity Issued and Repurchased gained in two of the last eight quarters, with an average decline of 24.8%.
- The high point for year-over-year Net Equity Issued and Repurchased in five years was Q1 2016 (growth of 142.9%); the low point was Q4 2017 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q1 2019 came in at $1.53 million (Q4 2018), $850,000 (Q3 2018) and $667,000 (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | - |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 159.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 64.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 69.00 Mn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 6.57 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 21.15 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 3.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 16.28 Mn |
| 10 | Lkq | 5.77 Bn | 4.55 Bn | 1.32 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.33 Mn |
| Dec 31, 2018 | 1.53 Mn |
| Sep 30, 2018 | 850,000.00 |
| Jun 30, 2018 | 667,000.00 |
| Mar 31, 2018 | 2.26 Mn |
| Dec 31, 2017 | 1.01 Mn |
| Sep 30, 2017 | 1.31 Mn |
| Jun 30, 2017 | 2.69 Mn |
| Mar 31, 2017 | 2.46 Mn |
| Dec 31, 2016 | 555.93 Mn |
| Sep 30, 2016 | 2.64 Mn |
| Jun 30, 2016 | 1.69 Mn |
| Mar 31, 2016 | 3.20 Mn |
| Dec 31, 2015 | 634,000.00 |
| Sep 30, 2015 | 4.25 Mn |
| Jun 30, 2015 | 1.97 Mn |
| Mar 31, 2015 | 1.32 Mn |
| Dec 31, 2014 | 2.80 Mn |
| Sep 30, 2014 | 2.31 Mn |
| Jun 30, 2014 | 1.83 Mn |
Lkq Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();