Assembly Biosciences (ASMB) Accumulated Expenses (2011 - 2019)
Assembly Biosciences (ASMB) reported Accumulated Expenses of $9.43 million for Q3 2019, up 44.7% from $6.52 million a year earlier and up 24.3% from the prior quarter.
Powered by 
Analysis
Assembly Biosciences (ASMB) Accumulated Expenses (2011 - 2019) Analysis & Trends
At the end of FY2018, Assembly Biosciences posted Accumulated Expenses of $9.68 million, up 57.7% from FY2017.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 233.6% (FY2013 to FY2018).
- By year, Accumulated Expenses came in at $6.14 million in FY2017 (+29.2%), $4.75 million in FY2016 (+133.1%), $2.04 million in FY2015 and $146,420 in FY2014 (+524.8%).
- Five-year quarterly Accumulated Expenses spans a low of $146,420 in Q4 2014 and a high of $10.14 million in Q1 2019.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 37.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2014 (growth of 524.8%); the low point was Q2 2018 (a decline of 19.4%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $7.59 million (Q2 2019), $10.14 million (Q1 2019) and $9.68 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Assembly Biosciences | 466.28 Mn | -561.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 9.43 Mn |
| Jun 30, 2019 | 7.59 Mn |
| Mar 31, 2019 | 10.14 Mn |
| Dec 31, 2018 | 9.68 Mn |
| Sep 30, 2018 | 6.52 Mn |
| Jun 30, 2018 | 5.08 Mn |
| Mar 31, 2018 | 4.65 Mn |
| Dec 31, 2017 | 6.14 Mn |
| Sep 30, 2017 | 6.35 Mn |
| Jun 30, 2017 | 6.31 Mn |
| Mar 31, 2017 | 4.01 Mn |
| Dec 31, 2016 | 4.75 Mn |
| Sep 30, 2016 | 3.64 Mn |
| Jun 30, 2016 | 2.63 Mn |
| Mar 31, 2016 | 1.24 Mn |
| Dec 31, 2015 | 2.04 Mn |
| Sep 30, 2015 | 1.19 Mn |
| Jun 30, 2015 | 935,665.00 |
| Mar 31, 2015 | 877,540.00 |
| Dec 31, 2014 | 146,420.00 |
API Access
Assembly Biosciences 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=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ASMB", "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=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();