Westport Fuel Systems (WPRT) Land & Improvements (2011 - 2012)
Westport Fuel Systems' Land & Improvements was $561,000 in the quarter ended Sep 30, 2012, up 1.6% from the prior quarter.
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Analysis
Westport Fuel Systems (WPRT) Land & Improvements (2011 - 2012) Analysis & Trends
As of Dec 31, 2011, Land & Improvements at Westport Fuel Systems came in at $668,000.
- Quarterly Land & Improvements has moved between $552,000 (the quarter ended Jun 30, 2012) and $687,000 (the quarter ended Mar 31, 2012) over five years.
- Per Business Quant data, WPRT's Land & Improvements in the three quarters before the quarter ended Sep 30, 2012 was $552,000 (quarter ended Jun 30, 2012), $687,000 (quarter ended Mar 31, 2012) and $668,000 (quarter ended Dec 31, 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 2.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 424.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Westport Fuel Systems | 34.06 Mn | -77.86 Mn | 842,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2012 | 561,000.00 |
| Jun 30, 2012 | 552,000.00 |
| Mar 31, 2012 | 687,000.00 |
| Dec 31, 2011 | 668,000.00 |
| Sep 30, 2011 | 593,000.00 |
API Access
Westport Fuel Systems 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=WPRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WPRT", "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=WPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();