Arbutus Biopharma (ABUS) Asset Writedowns and Impairment (2015 - 2019)
Arbutus Biopharma (ABUS) posted Asset Writedowns and Impairment of $43.84 million for FY2019, up 196.0% from $14.81 million in FY2018.
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Analysis
Arbutus Biopharma (ABUS) Asset Writedowns and Impairment (2015 - 2019) Analysis & Trends
Since FY2015, Arbutus Biopharma has reported Asset Writedowns and Impairment for 5 years.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 3.0% (FY2015 to FY2019).
- The FY2019 figure stands as the highest annual Asset Writedowns and Impairment since FY2016.
- Business Quant data shows ABUS's Asset Writedowns and Impairment at $14.81 million in FY2018 (-63.7%), $40.8 million in FY2017 (-83.9%), $253.2 million in FY2016 (+549.1%) and $39.01 million in FY2015.
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 |
|---|---|
| Sep 30, 2019 | 43.84 Mn |
| Sep 30, 2018 | 14.81 Mn |
| Dec 31, 2017 | 40.80 Mn |
| Dec 31, 2016 | 96.87 Mn |
| Jun 30, 2016 | 156.32 Mn |
| Dec 31, 2015 | 1.02 Mn |
| Sep 30, 2015 | 37.99 Mn |
API Access
Arbutus Biopharma Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ABUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ABUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();