Heron Therapeutics (HRTX) Accumulated Expenses (2010 - 2017)
Heron Therapeutics' Accumulated Expenses came in at $1.09 million for Q4 2017, down 59.8% from $2.7 million a year earlier.
Analysis
Heron Therapeutics (HRTX) Accumulated Expenses (2010 - 2017) Analysis & Trends
Going back to Q4 2010, Heron Therapeutics' Accumulated Expenses data covers 15 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -9.1% (FY2012 to FY2017).
- Going back by year, Accumulated Expenses was $2.7 million in FY2016 and $4.7 million in FY2013 (+168.7%).
- The Q4 2017 figure represents the lowest quarterly Accumulated Expenses since Q3 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Heron Therapeutics | 68.35 Mn | -121.22 Mn | 26.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 1.09 Mn |
| Dec 31, 2016 | 2.70 Mn |
| Mar 31, 2014 | 2.62 Mn |
| Dec 31, 2013 | 4.70 Mn |
| Sep 30, 2013 | 2.36 Mn |
| Jun 30, 2013 | 3.49 Mn |
| Mar 31, 2013 | 3.15 Mn |
| Dec 31, 2012 | 1.75 Mn |
| Sep 30, 2012 | 1.03 Mn |
| Jun 30, 2012 | 1.06 Mn |
| Mar 31, 2012 | 1.16 Mn |
| Dec 31, 2011 | 1.50 Mn |
| Sep 30, 2011 | 1.12 Mn |
| Jun 30, 2011 | 1.98 Mn |
| Dec 31, 2010 | 461,000.00 |
API Access
Heron Therapeutics 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=HRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HRTX", "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=HRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();