Johnson & Johnson (JNJ) Finished Goods (2012 - 2018)
Johnson & Johnson (JNJ) reported Finished Goods of $5.38 billion for Q4 2018, up 1.3% from $5.31 billion a year earlier but down 2.1% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Finished Goods (2012 - 2018) Analysis & Trends
Dating back to Q4 2011, Johnson & Johnson's Finished Goods record includes 9 quarters.
- Finished Goods has a five-year compound annual growth rate of 5.9% (FY2013 to FY2018).
- By year, Finished Goods came in at $5.31 billion in FY2017 (+6.0%), $5.01 billion in FY2016 and $4.51 billion in FY2014 (+11.6%).
- Five-year quarterly Finished Goods spans a low of $4.51 billion in Q4 2014 and a high of $5.49 billion in Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2018 | 5.38 Bn |
| Sep 30, 2018 | 5.49 Bn |
| Jul 1, 2018 | 5.36 Bn |
| Dec 31, 2017 | 5.31 Bn |
| Jan 1, 2017 | 5.01 Bn |
| Jan 3, 2016 | 4.88 Bn |
| Dec 28, 2014 | 4.51 Bn |
| Dec 29, 2013 | 4.04 Bn |
| Dec 30, 2012 | 3.82 Bn |
| Jan 1, 2012 | 3.44 Bn |
API Access
Johnson & Johnson 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=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "JNJ", "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=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();