TransDigm (TDG) Finished Goods (2014 - 2018)
TransDigm (TDG) recorded Finished Goods of $127.02 million in fiscal Q4 2018 (quarter ended Sep 30, 2018), down 3.4% from $131.55 million a year earlier and down 8.9% from the prior quarter.
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Analysis
TransDigm (TDG) Finished Goods (2014 - 2018) Analysis & Trends
Starting with fiscal Q4 2014, TransDigm's Finished Goods history includes 7 quarters.
- Annual Finished Goods has a four-year compound annual growth rate of 16.2% (FY2014 to FY2018).
- Across earlier fiscal years, Finished Goods came in at $131.55 million in FY2017 (-14.2%), $153.25 million in FY2016 (+24.6%), $122.96 million in FY2015 (+76.5%) and $69.66 million in FY2014.
- The fiscal Q4 2018 figure is the lowest quarterly Finished Goods since fiscal Q4 2015.
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 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 127.02 Mn |
| Jun 30, 2018 | 139.40 Mn |
| Sep 30, 2017 | 131.55 Mn |
| Jul 1, 2017 | 135.94 Mn |
| Sep 30, 2016 | 153.25 Mn |
| Sep 30, 2015 | 122.96 Mn |
| Sep 30, 2014 | 69.66 Mn |
API Access
TransDigm Finished Goods 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=finished-goods&ticker=TDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();