Kamada (KMDA) Finished Goods (2012 - 2019)
Kamada's Finished Goods came in at $12.02 million for the quarter ended Dec 31, 2019, up 71.1% from $7.02 million a year earlier.
Analysis
Kamada (KMDA) Finished Goods (2012 - 2019) Analysis & Trends
Going back to the quarter ended Dec 31, 2012, Kamada's Finished Goods data covers 8 quarters.
- Finished Goods carries a five-year compound annual growth rate of 3.7% (years ended Dec 2014 to Dec 2019).
- Going back by year, Finished Goods was $7.02 million in the year ended Dec 31, 2018 (+35.9%), $5.17 million in the year ended Dec 31, 2017 (-21.0%), $6.54 million in the year ended Dec 31, 2016 (-38.2%) and $10.58 million in the year ended Dec 31, 2015 (+5.8%).
- The figure for the quarter ended Dec 31, 2019 represents the highest quarterly Finished Goods in data going back to the quarter ended Dec 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 12.02 Mn |
| Dec 31, 2018 | 7.02 Mn |
| Dec 31, 2017 | 5.17 Mn |
| Dec 31, 2016 | 6.54 Mn |
| Dec 31, 2015 | 10.58 Mn |
| Dec 31, 2014 | 10.00 Mn |
| Dec 31, 2013 | 10.98 Mn |
| Dec 31, 2012 | 6.47 Mn |
API Access
Kamada 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=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "KMDA", "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=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();