Achieve Life Sciences (ACHV) Revenue (2010 - 2016)
Achieve Life Sciences' Revenue came in at $2.94 million for Q1 2016, up 114.0% from $1.37 million a year earlier but down 51.2% from the prior quarter.
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Analysis
Achieve Life Sciences (ACHV) Revenue (2010 - 2016) Analysis & Trends
Over the trailing twelve months to Mar 31, 2016, Achieve Life Sciences reported Revenue of $19.73 million, up 17.7% year-over-year; for FY2015, it was $18.16 million, down 33.0% from FY2014.
- Revenue carries a five-year compound annual growth rate of 5.9% (FY2010 to FY2015).
- Going back by year, Revenue was $27.12 million in FY2014 (-9.3%), $29.88 million in FY2013 (+48.7%), $20.1 million in FY2012 (+265.6%) and $5.5 million in FY2011 (-59.6%).
- The five-year range for quarterly Revenue is $1.17 million (Q3 2011) to $11.73 million (Q1 2014).
- Year-over-year, Revenue has increased for three consecutive quarters, with an average decline of 6.7% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q4 2012 (growth of 691.3%), and the weakest in Q1 2015 (a decline of 88.3%).
- Business Quant data shows ACHV's Revenue at $6.02 million (Q4 2015), $6.74 million (Q3 2015) and $4.03 million (Q2 2015) in the three quarters before Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Achieve Life Sciences | 337.86 Mn | 337.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 2.94 Mn |
| Dec 31, 2015 | 6.02 Mn |
| Sep 30, 2015 | 6.74 Mn |
| Jun 30, 2015 | 4.03 Mn |
| Mar 31, 2015 | 1.37 Mn |
| Dec 31, 2014 | 5.65 Mn |
| Sep 30, 2014 | 4.80 Mn |
| Jun 30, 2014 | 4.93 Mn |
| Mar 31, 2014 | 11.73 Mn |
| Dec 31, 2013 | 8.60 Mn |
| Sep 30, 2013 | 9.86 Mn |
| Jun 30, 2013 | 6.34 Mn |
| Mar 31, 2013 | 5.08 Mn |
| Dec 31, 2012 | 9.78 Mn |
| Sep 30, 2012 | 6.57 Mn |
| Jun 30, 2012 | 2.43 Mn |
| Mar 31, 2012 | 1.32 Mn |
| Dec 31, 2011 | 1.24 Mn |
| Sep 30, 2011 | 1.17 Mn |
| Jun 30, 2011 | 1.89 Mn |
API Access
Achieve Life Sciences Revenue 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=revenue&ticker=ACHV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ACHV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();