Bristol Myers Squibb (BMY) Accumulated Expenses (2009 - 2019)
Bristol Myers Squibb's Accumulated Expenses was $5.86 billion in Q1 2019, up 5.3% from $5.56 billion a year earlier but down 9.8% from the prior quarter.
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Analysis
Bristol Myers Squibb (BMY) Accumulated Expenses (2009 - 2019) Analysis & Trends
At the end of FY2018, Accumulated Expenses at Bristol Myers Squibb came in at $6.49 billion, up 7.9% from FY2017.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 24.7% (FY2013 to FY2018).
- In earlier years, Accumulated Expenses was $6.01 billion in FY2017 (+14.1%), $5.27 billion in FY2016 (+11.2%), $4.74 billion in FY2015 (+92.7%) and $2.46 billion in FY2014 (+14.3%).
- Quarterly Accumulated Expenses has moved between $1.79 billion (Q1 2015) and $6.49 billion (Q4 2018) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 15 straight quarters, with growth averaging 10.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2016 (growth of 140.7%); the worst was Q1 2015 (a decline of 10.3%).
- Per Business Quant data, BMY's Accumulated Expenses in the three quarters before Q1 2019 was $6.49 billion (Q4 2018), $5.85 billion (Q3 2018) and $5.83 billion (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Bristol Myers Squibb | 128.59 Bn | 79.87 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 5.86 Bn |
| Dec 31, 2018 | 6.49 Bn |
| Sep 30, 2018 | 5.85 Bn |
| Jun 30, 2018 | 5.83 Bn |
| Mar 31, 2018 | 5.56 Bn |
| Dec 31, 2017 | 6.01 Bn |
| Sep 30, 2017 | 5.42 Bn |
| Jun 30, 2017 | 5.13 Bn |
| Mar 31, 2017 | 4.78 Bn |
| Dec 31, 2016 | 5.27 Bn |
| Sep 30, 2016 | 4.96 Bn |
| Jun 30, 2016 | 4.88 Bn |
| Mar 31, 2016 | 4.31 Bn |
| Dec 31, 2015 | 4.74 Bn |
| Sep 30, 2015 | 2.33 Bn |
| Jun 30, 2015 | 2.10 Bn |
| Mar 31, 2015 | 1.79 Bn |
| Dec 31, 2014 | 2.46 Bn |
| Sep 30, 2014 | 2.29 Bn |
| Jun 30, 2014 | 2.20 Bn |
API Access
Bristol Myers Squibb Accumulated Expenses 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=accumulated-expenses&ticker=BMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();