Woodward (WWD) Amortization - Intangibles (2009 - 2017)
Woodward's Amortization - Intangibles came in at $6.44 million for fiscal Q3 2017 (quarter ended Jun 30, 2017), down 6.5% from $6.89 million a year earlier but up 0.1% from the prior quarter.
Woodward (WWD) Amortization - Intangibles (2009 - 2017) Analysis & Trends
Over the trailing twelve months to Jun 30, 2017, Woodward reported Amortization - Intangibles of $26.06 million, down 6.9% year-over-year; for FY2016 (ended Sep 30, 2016), it was $27.49 million, down 6.0% from FY2015.
- Amortization - Intangibles has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -4.7% (FY2011 to FY2016).
- Going back by fiscal year, Amortization - Intangibles was $29.24 million in FY2015 (-12.9%), $33.58 million in FY2014 (-9.2%), $36.98 million in FY2013 (+12.7%) and $32.81 million in FY2012 (-6.2%).
- The five-year range for quarterly Amortization - Intangibles is $6.43 million (fiscal Q2 2017) to $9.81 million (fiscal Q2 2013).
- Year-over-year, Amortization - Intangibles has declined for 14 consecutive quarters, with an average decline of 6.9% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in fiscal Q3 2013 (growth of 20.0%), and the weakest in fiscal Q4 2014 (a decline of 16.9%).
- Business Quant data shows WWD's Amortization - Intangibles at $6.43 million (Q2 2017), $6.46 million (Q1 2017) and $6.73 million (Q4 2016) in the three fiscal quarters before Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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
| Date | Value |
|---|---|
| Jun 30, 2017 | 6.44 Mn |
| Mar 31, 2017 | 6.43 Mn |
| Dec 31, 2016 | 6.46 Mn |
| Sep 30, 2016 | 6.73 Mn |
| Jun 30, 2016 | 6.89 Mn |
| Mar 31, 2016 | 6.93 Mn |
| Dec 31, 2015 | 6.95 Mn |
| Sep 30, 2015 | 7.22 Mn |
| Jun 30, 2015 | 7.22 Mn |
| Mar 31, 2015 | 7.23 Mn |
| Dec 31, 2014 | 7.58 Mn |
| Sep 30, 2014 | 8.08 Mn |
| Jun 30, 2014 | 8.36 Mn |
| Mar 31, 2014 | 8.66 Mn |
| Dec 31, 2013 | 8.48 Mn |
| Sep 30, 2013 | 9.73 Mn |
| Jun 30, 2013 | 9.77 Mn |
| Mar 31, 2013 | 9.81 Mn |
| Dec 31, 2012 | 7.67 Mn |
| Sep 30, 2012 | 8.12 Mn |
Woodward Amortization - Intangibles 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=amortization-intangibles&ticker=WWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=WWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();