W.W. Grainger (GWW) Land & Improvements (2009 - 2010)
W.W. Grainger's (GWW) quarterly Land & Improvements came in at $249.1 million in Q4 2010, up 4.73% year-over-year from $237.9 million in Q4 2009, and up 4.73% quarter-over-quarter from $237.9 million in Q4 2009.
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Analysis
W.W. Grainger (GWW) Land & Improvements (2009 - 2010) Analysis & Trends
W.W. Grainger (GWW) has reported Land & Improvements for 2 consecutive years, with $249.1 million the latest figure, recorded in Q4 2010.
- On a quarterly basis, Land & Improvements rose 4.73% year-over-year to $249.1 million in Q4 2010; TTM through Dec 2010 was $249.1 million, a 4.73% increase from a year earlier, with the FY2010 full-year figure at $249.1 million, up 4.73% from the prior year.
- Land & Improvements was $249.1 million for Q4 2010 at W.W. Grainger, up from $237.9 million in the prior quarter.
- Over five years, Land & Improvements peaked at $249.1 million in Q4 2010 and troughed at $237.9 million in Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | - |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | - |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | - |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | - |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | - |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | - |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 13.90 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | - |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | - |
API Access
W.W. Grainger 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=GWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GWW", "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=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();