Eli Lilly (LLY) Other Operating Expenses (2012 - 2019)
Eli Lilly (LLY) posted Other Operating Expenses of -$151.7 million for Q4 2019, compared with -$192.6 million a year earlier.
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Analysis
Eli Lilly (LLY) Other Operating Expenses (2012 - 2019) Analysis & Trends
For FY2019, Eli Lilly's Other Operating Expenses came in at -$9.1 billion.
- In prior years, Eli Lilly's Other Operating Expenses was -$8.21 billion in FY2018, -$9.12 billion in FY2017, -$8.98 billion in FY2016 and -$8.45 billion in FY2015.
- The Q4 2019 figure stands as the highest quarterly Other Operating Expenses since Q3 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 | Vertex Pharmaceuticals | 135.25 Bn | 107.26 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -151.70 Mn |
| Mar 31, 2019 | -423.90 Mn |
| Dec 31, 2018 | -192.60 Mn |
| Sep 30, 2018 | -42.90 Mn |
| Jun 30, 2018 | 25.50 Mn |
| Mar 31, 2018 | -56.80 Mn |
| Dec 31, 2017 | -44.40 Mn |
| Sep 30, 2017 | -406.50 Mn |
| Jun 30, 2017 | -50.00 Mn |
| Mar 31, 2017 | -213.90 Mn |
| Dec 31, 2016 | -290.00 Mn |
| Sep 30, 2016 | -45.50 Mn |
| Jun 30, 2016 | -58.00 Mn |
| Mar 31, 2016 | -131.40 Mn |
| Dec 31, 2015 | -144.90 Mn |
| Sep 30, 2015 | -42.40 Mn |
| Jun 30, 2015 | -72.40 Mn |
| Mar 31, 2015 | -108.00 Mn |
| Dec 31, 2014 | -401.00 Mn |
| Sep 30, 2014 | -36.30 Mn |
API Access
Eli Lilly Other Operating 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=other-operating-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "LLY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();