Caterpillar (CAT) Finished Goods (2009 - 2018)
Caterpillar (CAT) posted Finished Goods of $5.2 billion for Q4 2018, up 10.08% on a QoQ basis from $4.8 billion in Q4 2017, and up 10.08% year-over-year from $4.8 billion in Q4 2017.
Caterpillar (CAT) Finished Goods (2009 - 2018) Analysis & Trends
Caterpillar has reported Finished Goods for 10 years, with the latest figure at $5.2 billion in Q4 2018.
- On a quarterly basis, Finished Goods rose 10.08% year-over-year to $5.2 billion in Q4 2018; TTM through Dec 2018 was $5.2 billion, a 10.08% increase from a year earlier, with the FY2018 full-year figure at $5.2 billion, up 10.08% from the prior year.
- Finished Goods was $5.2 billion for Q4 2018 at Caterpillar, up from $4.8 billion in the prior quarter.
- The five-year high for Finished Goods was $6.8 billion in Q3 2014, with the low at $4.6 billion in Q4 2016.
- Average Finished Goods over 5 years is $5.8 billion, with a median of $6.0 billion recorded in 2015.
- The sharpest annual moves came in 2016 and 2018: Finished Goods dropped 23.15% in 2016, then climbed 10.08% in 2018.
- Over 5 years, Finished Goods stood at $6.5 billion in 2014, then retreated by 21.25% to $5.1 billion in 2015, then decreased by 10.66% to $4.6 billion in 2016, then rose by 4.04% to $4.8 billion in 2017, then gained by 10.08% to $5.2 billion in 2018.
- The last three Finished Goods figures came in at $5.2 billion (Q4 2018), $4.8 billion (Q4 2017), and $4.6 billion (Q4 2016), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 5.24 Bn |
| Dec 31, 2017 | 4.76 Bn |
| Dec 31, 2016 | 4.58 Bn |
| Jun 30, 2016 | 4.92 Bn |
| Mar 31, 2016 | 5.21 Bn |
| Dec 31, 2015 | 5.12 Bn |
| Sep 30, 2015 | 6.04 Bn |
| Jun 30, 2015 | 6.40 Bn |
| Mar 31, 2015 | 6.51 Bn |
| Dec 31, 2014 | 6.50 Bn |
| Sep 30, 2014 | 6.83 Bn |
| Jun 30, 2014 | 6.73 Bn |
| Mar 31, 2014 | 6.80 Bn |
| Dec 31, 2013 | 6.79 Bn |
| Sep 30, 2013 | 7.22 Bn |
| Jun 30, 2013 | 7.70 Bn |
| Mar 31, 2013 | 8.35 Bn |
| Dec 31, 2012 | 8.77 Bn |
| Sep 30, 2012 | 9.78 Bn |
| Jun 30, 2012 | 9.43 Bn |
Caterpillar 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=CAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "CAT", "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=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();