Arbutus Biopharma (ABUS) Other Accumulated Expenses (2013 - 2015)
Arbutus Biopharma (ABUS) recorded Other Accumulated Expenses of $745,000 in Q2 2015, up 169.9% from $276,000 a year earlier but down 40.4% from the prior quarter.
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Analysis
Arbutus Biopharma (ABUS) Other Accumulated Expenses (2013 - 2015) Analysis & Trends
At the end of FY2014, Arbutus Biopharma reported Other Accumulated Expenses of $226,000, down 71.6% from FY2013.
- Across earlier years, Other Accumulated Expenses came in at $795,000 in FY2013.
- Quarterly Other Accumulated Expenses has ranged from $226,000 in Q4 2014 to $1.25 million in Q1 2015 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.25 million (Q1 2015), $226,000 (Q4 2014) and $418,000 (Q3 2014).
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 | Arbutus Biopharma | 901.21 Mn | 528.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 745,000.00 |
| Mar 31, 2015 | 1.25 Mn |
| Dec 31, 2014 | 226,000.00 |
| Sep 30, 2014 | 418,000.00 |
| Jun 30, 2014 | 276,000.00 |
| Mar 31, 2014 | 510,000.00 |
| Dec 31, 2013 | 795,000.00 |
API Access
Arbutus Biopharma Other 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=other-accumulated-expenses&ticker=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ABUS", "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-accumulated-expenses&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();