Cae (CAE) Accumulated Expenses (2009 - 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.
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Analysis
Cae (CAE) Accumulated Expenses (2009 - 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 | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Cae | 8.61 Bn | 9.08 Bn | 230.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 517.63 Mn |
| Mar 31, 2018 | 519.59 Mn |
| Mar 31, 2016 | 22.27 Mn |
| Mar 31, 2011 | 24.80 Mn |
| Dec 31, 2010 | 29.90 Mn |
| Sep 30, 2010 | 5.90 Mn |
| Jun 30, 2010 | 11.30 Mn |
| Dec 31, 2009 | 24.30 Mn |
| Mar 31, 2009 | 19.50 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_KEYimport 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();