Cae (CAE) Accumulated Expenses (2011 - 2019)
Cae (CAE) recorded Accumulated Expenses of $522.75 million in the quarter ended Mar 31, 2019, down 1.3% from $529.79 million a year earlier.
Analysis
Cae (CAE) Accumulated Expenses (2011 - 2019) Analysis & Trends
As of Mar 31, 2019, Cae reported Accumulated Expenses of $530.1 million, up 1.5% from the prior year.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 188.5% (years ended Mar 2016 to Mar 2019).
- Across earlier years, Accumulated Expenses came in at $522.1 million in the year ended Mar 31, 2018 and $22.08 million in the year ended Mar 31, 2016.
- The figure for the quarter ended Mar 31, 2019 is the lowest quarterly Accumulated Expenses since the quarter ended Mar 31, 2016.
Peer Set
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 | Cae | 7.72 Bn | 8.25 Bn | 247.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 522.75 Mn |
| Mar 31, 2018 | 529.79 Mn |
| Mar 31, 2016 | 21.06 Mn |
| Mar 31, 2011 | 24.80 Mn |
API Access
Cae Accumulated Expenses 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=accumulated-expenses&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();