Bristol Myers Squibb (BMY) Finished Goods (2010 - 2013)
Bristol Myers Squibb's Finished Goods was $569 million in Q1 2013, up 13.6% from $501 million a year earlier but down 0.5% from the prior quarter.
Bristol Myers Squibb (BMY) Finished Goods (2010 - 2013) Analysis & Trends
At the end of FY2012, Finished Goods at Bristol Myers Squibb came in at $572 million, up 19.7% from FY2011.
- In earlier years, Finished Goods was $478 million in FY2011 (+20.4%) and $397 million in FY2010.
- Quarterly Finished Goods has moved between $397 million (Q4 2010) and $572 million (Q4 2012) over five years.
- Compared with a year earlier, Finished Goods has increased for six straight quarters, with growth averaging 18.3% over the last six quarters.
- Per Business Quant data, BMY's Finished Goods in the three quarters before Q1 2013 was $572 million (Q4 2012), $533 million (Q3 2012) and $503 million (Q2 2012).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Bristol Myers Squibb | 126.07 Bn | 77.35 Bn | 9.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2013 | 569.00 Mn |
| Dec 31, 2012 | 572.00 Mn |
| Sep 30, 2012 | 533.00 Mn |
| Jun 30, 2012 | 503.00 Mn |
| Mar 31, 2012 | 501.00 Mn |
| Dec 31, 2011 | 478.00 Mn |
| Sep 30, 2011 | 443.00 Mn |
| Jun 30, 2011 | 437.00 Mn |
| Mar 31, 2011 | 414.00 Mn |
| Dec 31, 2010 | 397.00 Mn |
Bristol Myers Squibb 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=BMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "BMY", "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=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();