Achieve Life Sciences (ACHV) Net Income (2010 - 2018)
Achieve Life Sciences' Net Income came in at -$16.4 million for FY2019, compared with -$12.69 million in FY2018.
Analysis
Achieve Life Sciences (ACHV) Net Income (2010 - 2018) Analysis & Trends
Going back to FY2009, Achieve Life Sciences' Net Income data covers 9 years.
- The FY2019 figure represents the lowest annual Net Income since FY2012.
- Per Business Quant, earlier years put Net Income at -$12.69 million in FY2018, -$13.63 million in FY2017, -$1.74 million in FY2016 and -$1.24 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.53 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.62 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -1.34 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 3.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.51 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.38 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -10.50 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -237.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 1.10 Bn |
| 10 | Achieve Life Sciences | 352.68 Mn | 352.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -3.64 Mn |
| Sep 30, 2018 | -3.24 Mn |
| Jun 30, 2018 | -2.79 Mn |
| Mar 31, 2018 | -3.02 Mn |
| Dec 31, 2017 | -3.74 Mn |
| Sep 30, 2017 | -9.40 Mn |
| Jun 30, 2017 | -166,000.00 |
| Mar 31, 2017 | -329,000.00 |
| Dec 31, 2016 | -613,000.00 |
| Sep 30, 2016 | -405,000.00 |
| Dec 31, 2012 | -38.09 Mn |
| Sep 30, 2012 | 5.92 Mn |
| Jun 30, 2012 | 4.22 Mn |
| Mar 31, 2012 | -6.86 Mn |
| Dec 31, 2011 | -19.78 Mn |
| Sep 30, 2011 | -4.47 Mn |
| Jun 30, 2011 | 6.53 Mn |
| Mar 31, 2011 | -3.05 Mn |
| Dec 31, 2010 | -2.80 Mn |
| Sep 30, 2010 | -6.89 Mn |
API Access
Achieve Life Sciences Net Income 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=net-income&ticker=ACHV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "ticker": "ACHV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-income&ticker=ACHV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();