TransDigm (TDG) Raw Materials (2014 - 2018)
TransDigm's Raw Materials came in at $540.29 million for fiscal Q4 2018 (quarter ended Sep 30, 2018), up 8.7% from $496.9 million a year earlier but down 2.3% from the prior quarter.
TransDigm (TDG) Raw Materials (2014 - 2018) Analysis & Trends
Going back to fiscal Q4 2014, TransDigm's Raw Materials data covers 7 quarters.
- Raw Materials has increased in each of the last four fiscal years, with a four-year compound annual growth rate of 16.0% (FY2014 to FY2018).
- Going back by fiscal year, Raw Materials was $496.9 million in FY2017 (+7.0%), $464.41 million in FY2016 (+25.2%), $371.07 million in FY2015 (+24.4%) and $298.32 million in FY2014.
- The five-year range for quarterly Raw Materials is $298.32 million (fiscal Q4 2014) to $553.01 million (fiscal Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 540.29 Mn |
| Jun 30, 2018 | 553.01 Mn |
| Sep 30, 2017 | 496.90 Mn |
| Jul 1, 2017 | 510.74 Mn |
| Sep 30, 2016 | 464.41 Mn |
| Sep 30, 2015 | 371.07 Mn |
| Sep 30, 2014 | 298.32 Mn |
TransDigm Raw Materials 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=raw-materials&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "TDG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();