Genuine Parts (GPC) Land & Improvements (2011 - 2015)
Genuine Parts' Land & Improvements was $85.45 million in Q4 2015, down 2.5% from $87.65 million a year earlier.
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Analysis
Genuine Parts (GPC) Land & Improvements (2011 - 2015) Analysis & Trends
From Q4 2011 onward, Genuine Parts has reported Land & Improvements for 5 quarters.
- Land & Improvements shows a four-year compound annual growth rate of 3.5% (FY2011 to FY2015).
- In earlier years, Land & Improvements was $87.65 million in FY2014 (unchanged), $87.66 million in FY2013 (-1.2%), $88.71 million in FY2012 (+19.3%) and $74.33 million in FY2011.
- The Q4 2015 figure marks the lowest quarterly Land & Improvements since Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.84 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Genuine Parts | 17.33 Bn | 15.38 Bn | 2.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 85.45 Mn |
| Dec 31, 2014 | 87.65 Mn |
| Dec 31, 2013 | 87.66 Mn |
| Dec 31, 2012 | 88.71 Mn |
| Dec 31, 2011 | 74.33 Mn |
API Access
Genuine Parts Land & Improvements 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=land-and-improvements&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GPC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();