Cae (CAE) Amortizatization of Intangibles (2009 - 2019)
Cae (CAE) posted Amortizatization of Intangibles of $17.44 million for the quarter ended Mar 31, 2019, up 24.6% from $14 million a year earlier and up 19.9% from the prior quarter.
Cae (CAE) Amortizatization of Intangibles (2009 - 2019) Analysis & Trends
For the year ended Mar 31, 2019, Cae's Amortizatization of Intangibles came in at $60.7 million, down 1.2% from the prior year.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 0.4% (years ended Mar 2014 to Mar 2019).
- In prior years, Cae's Amortizatization of Intangibles was $61.44 million in the year ended Mar 31, 2018 (-9.5%), $67.9 million in the year ended Mar 31, 2017, $72.73 million in the year ended Dec 31, 2016 (+14.5%) and $63.5 million in the year ended Dec 31, 2015 (+6.5%).
- The figure for the quarter ended Mar 31, 2019 stands as the highest quarterly Amortizatization of Intangibles since the quarter ended Dec 31, 2013.
- On a year-over-year basis, Amortizatization of Intangibles increased in two of the last four quarters, with an average decline of 0.1%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $14.55 million (quarter ended Dec 31, 2018), $14.61 million (quarter ended Sep 30, 2018) and $14.03 million (quarter ended Jun 30, 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 43.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Cae | 7.72 Bn | 8.25 Bn | 247.89 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 17.44 Mn |
| Dec 31, 2018 | 14.55 Mn |
| Sep 30, 2018 | 14.61 Mn |
| Jun 30, 2018 | 14.03 Mn |
| Mar 31, 2018 | 14.00 Mn |
| Dec 31, 2017 | 14.48 Mn |
| Sep 30, 2017 | 16.19 Mn |
| Jun 30, 2017 | 16.66 Mn |
| Dec 31, 2016 | 32.16 Mn |
| Sep 30, 2016 | 32.91 Mn |
| Jun 30, 2016 | 19.16 Mn |
| Dec 31, 2015 | 51.85 Mn |
| Sep 30, 2015 | 34.46 Mn |
| Jun 30, 2015 | 17.88 Mn |
| Dec 31, 2014 | 52.84 Mn |
| Sep 30, 2014 | 36.05 Mn |
| Jun 30, 2014 | 17.23 Mn |
| Dec 31, 2013 | 45.38 Mn |
| Sep 30, 2013 | 29.65 Mn |
| Jun 30, 2013 | 14.57 Mn |
Cae Amortizatization of 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=amortizatization-of-intangibles&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "CAE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();