Borgwarner (BWA) Finished Goods (2010 - 2019)
Borgwarner's Finished Goods came in at $207 million for Q4 2019, up 4.0% from $199 million a year earlier.
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Analysis
Borgwarner (BWA) Finished Goods (2010 - 2019) Analysis & Trends
Going back to Q4 2010, Borgwarner's Finished Goods data covers 10 quarters.
- Finished Goods has increased in each of the last three years, with a five-year compound annual growth rate of 12.4% (FY2014 to FY2019).
- Going back by year, Finished Goods was $199 million in FY2018 (+8.7%), $183 million in FY2017 (+4.6%), $174.9 million in FY2016 (-21.4%) and $222.4 million in FY2015 (+92.6%).
- The Q4 2019 figure represents the highest quarterly Finished Goods since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 331.90 Bn | 303.60 Bn | 7.76 Bn |
| 2 | Amphenol | 195.65 Bn | 190.23 Bn | 3.55 Bn |
| 3 | Deere | 171.23 Bn | 139.32 Bn | 4.66 Bn |
| 4 | Eaton | 147.51 Bn | 144.69 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.09 Bn | 117.21 Bn | 2.25 Bn |
| 6 | 3M | 88.58 Bn | 69.98 Bn | 2.68 Bn |
| 7 | Emerson Electric | 87.94 Bn | 80.68 Bn | 2.66 Bn |
| 8 | Vertiv Holdings | 78.13 Bn | 68.75 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.41 Bn | 73.97 Bn | 1.90 Bn |
| 10 | Borgwarner | 11.66 Bn | 2.61 Bn | 721.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 207.00 Mn |
| Dec 31, 2018 | 199.00 Mn |
| Dec 31, 2017 | 183.00 Mn |
| Dec 31, 2016 | 174.90 Mn |
| Dec 31, 2015 | 222.40 Mn |
| Dec 31, 2014 | 115.50 Mn |
| Dec 31, 2013 | 116.30 Mn |
| Dec 31, 2012 | 117.60 Mn |
| Dec 31, 2011 | 124.30 Mn |
| Dec 31, 2010 | 111.70 Mn |
API Access
Borgwarner 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=BWA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "BWA", "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=BWA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();