Woodward (WWD) Land & Improvements (2010 - 2017)
Woodward's Land & Improvements was $88.33 million in fiscal Q4 2017 (quarter ended Sep 30, 2017), up 0.7% from $87.7 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Woodward (WWD) Land & Improvements (2010 - 2017) Analysis & Trends
From fiscal Q4 2010 onward, Woodward has reported Land & Improvements for 27 quarters.
- Land & Improvements has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 26.0% (FY2012 to FY2017).
- In earlier fiscal years, Land & Improvements was $87.7 million in FY2016 (+10.6%), $79.31 million in FY2015 (+19.6%), $66.3 million in FY2014 (+15.2%) and $57.56 million in FY2013 (+107.1%).
- The fiscal Q4 2017 figure marks the highest quarterly Land & Improvements in data going back to fiscal Q4 2010.
- Compared with a year earlier, Land & Improvements was higher in seven of the last eight quarters, with growth averaging 14.8%.
- The best year-over-year quarter for Land & Improvements over five years was fiscal Q2 2014 (growth of 141.2%); the worst was fiscal Q2 2017 (a decline of 0.1%).
- Per Business Quant data, WWD's Land & Improvements in the three fiscal quarters before Q4 2017 was $87.93 million (Q3 2017), $87.51 million (Q2 2017) and $87.29 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | - |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 5.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | - |
| 10 | Woodward | 19.40 Bn | 17.64 Bn | 349.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 88.33 Mn |
| Jun 30, 2017 | 87.93 Mn |
| Mar 31, 2017 | 87.51 Mn |
| Dec 31, 2016 | 87.29 Mn |
| Sep 30, 2016 | 87.70 Mn |
| Jun 30, 2016 | 87.47 Mn |
| Mar 31, 2016 | 87.63 Mn |
| Dec 31, 2015 | 79.12 Mn |
| Sep 30, 2015 | 79.31 Mn |
| Jun 30, 2015 | 63.63 Mn |
| Mar 31, 2015 | 63.14 Mn |
| Dec 31, 2014 | 65.73 Mn |
| Sep 30, 2014 | 66.30 Mn |
| Jun 30, 2014 | 57.59 Mn |
| Mar 31, 2014 | 57.54 Mn |
| Dec 31, 2013 | 57.44 Mn |
| Sep 30, 2013 | 57.56 Mn |
| Jun 30, 2013 | 33.27 Mn |
| Mar 31, 2013 | 23.86 Mn |
| Dec 31, 2012 | 24.23 Mn |
API Access
Woodward 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=WWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "WWD", "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=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();