Cae (CAE) Depreciation and Depletion (2009 - 2019)
Cae's Depreciation and Depletion came in at $30.3 million for the quarter ended Mar 31, 2019, up 27.7% from $23.74 million a year earlier and up 18.7% from the prior quarter.
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Analysis
Cae (CAE) Depreciation and Depletion (2009 - 2019) Analysis & Trends
For the year ended Mar 31, 2019, Cae's Depreciation and Depletion was $104.92 million, up 11.4% from the prior year.
- Depreciation and Depletion carries a five-year compound annual growth rate of 3.2% (years ended Mar 2014 to Mar 2019).
- Going back by year, Depreciation and Depletion was $94.19 million in the year ended Mar 31, 2018 (+0.7%), $93.58 million in the year ended Mar 31, 2017, $91.76 million in the year ended Dec 31, 2016 (+8.3%) and $84.74 million in the year ended Dec 31, 2015 (-5.3%).
- The figure for the quarter ended Mar 31, 2019 represents the highest quarterly Depreciation and Depletion since the quarter ended Dec 31, 2013.
- Year-over-year, Depreciation and Depletion has increased for four consecutive quarters, with growth averaging 11.3% over the last four quarters.
- Business Quant data shows CAE's Depreciation and Depletion at $25.53 million (quarter ended Dec 31, 2018), $25.17 million (quarter ended Sep 30, 2018) and $23.8 million (quarter ended Jun 30, 2018) in the three quarters before the quarter ended Mar 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 175.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 53.00 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 | 156.00 Mn |
| 10 | Cae | 7.72 Bn | 8.25 Bn | 247.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 30.30 Mn |
| Dec 31, 2018 | 25.53 Mn |
| Sep 30, 2018 | 25.17 Mn |
| Jun 30, 2018 | 23.80 Mn |
| Mar 31, 2018 | 23.74 Mn |
| Dec 31, 2017 | 24.40 Mn |
| Sep 30, 2017 | 22.81 Mn |
| Jun 30, 2017 | 23.20 Mn |
| Dec 31, 2016 | 46.71 Mn |
| Sep 30, 2016 | 47.79 Mn |
| Jun 30, 2016 | 24.91 Mn |
| Dec 31, 2015 | 67.07 Mn |
| Sep 30, 2015 | 44.79 Mn |
| Jun 30, 2015 | 22.84 Mn |
| Dec 31, 2014 | 70.01 Mn |
| Sep 30, 2014 | 47.64 Mn |
| Jun 30, 2014 | 23.28 Mn |
| Dec 31, 2013 | 69.02 Mn |
| Sep 30, 2013 | 47.55 Mn |
| Jun 30, 2013 | 24.25 Mn |
API Access
Cae Depreciation and Depletion 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=depreciation-and-depletion&ticker=CAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();