BioLineRx (BLRX) Accumulated Expenses (2016 - 2020)
BioLineRx (BLRX) posted Accumulated Expenses of $884,000 for the quarter ended Dec 31, 2020, up 21.6% from $727,000 a year earlier.
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Analysis
BioLineRx (BLRX) Accumulated Expenses (2016 - 2020) Analysis & Trends
Since the quarter ended Dec 31, 2016, BioLineRx has reported Accumulated Expenses for 5 quarters.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of 12.1% (years ended Dec 2016 to Dec 2020).
- In prior years, BioLineRx's Accumulated Expenses was $727,000 in the year ended Dec 31, 2019 (-8.2%), $792,000 in the year ended Dec 31, 2018 (+27.7%), $620,000 in the year ended Dec 31, 2017 (+10.7%) and $560,000 in the year ended Dec 31, 2016.
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 | BioLineRx | 6.14 Bn | 6.14 Bn | 235,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 884,000.00 |
| Dec 31, 2019 | 727,000.00 |
| Dec 31, 2018 | 792,000.00 |
| Dec 31, 2017 | 620,000.00 |
| Dec 31, 2016 | 560,000.00 |
API Access
BioLineRx 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=BLRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BLRX", "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=BLRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();