BridgeBio Pharma (BBIO) Accumulated Expenses (2018 - 2020)
BridgeBio Pharma (BBIO) posted Accumulated Expenses of $8.69 million for Q3 2020, up 81.5% from $4.79 million a year earlier but down 24.2% from the prior quarter.
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Analysis
BridgeBio Pharma (BBIO) Accumulated Expenses (2018 - 2020) Analysis & Trends
At the end of FY2019, BridgeBio Pharma's Accumulated Expenses came in at $3.02 million, up 43.8% from FY2018.
- In prior years, BridgeBio Pharma's Accumulated Expenses was $2.1 million in FY2018.
- Quarterly Accumulated Expenses has run from a low of $2.1 million in Q4 2018 to a high of $11.46 million in Q2 2020 over five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $11.46 million (Q2 2020), $7.47 million (Q1 2020) and $3.02 million (Q4 2019).
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 | BridgeBio Pharma | 12.85 Bn | 9.97 Bn | 228.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 8.69 Mn |
| Jun 30, 2020 | 11.46 Mn |
| Mar 31, 2020 | 7.47 Mn |
| Dec 31, 2019 | 3.02 Mn |
| Sep 30, 2019 | 4.79 Mn |
| Jun 30, 2019 | 4.19 Mn |
| Dec 31, 2018 | 2.10 Mn |
API Access
BridgeBio Pharma 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=BBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BBIO", "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=BBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();