Fortress Biotech (FBIO) Accumulated Expenses (2010 - 2021)
Fortress Biotech (FBIO) posted Accumulated Expenses of $82.86 million for Q3 2021, up 292.1% from $21.13 million a year earlier and up 38.3% from the prior quarter.
Fortress Biotech (FBIO) Accumulated Expenses (2010 - 2021) Analysis & Trends
At the end of FY2020, Fortress Biotech's Accumulated Expenses came in at $45.39 million, up 78.7% from FY2019.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 39.6% (FY2015 to FY2020).
- In prior years, Fortress Biotech's Accumulated Expenses was $25.4 million in FY2019 (+55.3%), $16.36 million in FY2018 (-7.2%), $17.63 million in FY2017 (+74.9%) and $10.08 million in FY2016 (+17.6%).
- The Q3 2021 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 98.2% over the last seven quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 292.1%; the weakest was Q2 2019, with a decline of 15.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $59.91 million (Q2 2021), $27.81 million (Q1 2021) and $45.39 million (Q4 2020).
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 | Fortress Biotech | 71.29 Mn | -323.33 Mn | 12.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 82.86 Mn |
| Jun 30, 2021 | 59.91 Mn |
| Mar 31, 2021 | 27.81 Mn |
| Dec 31, 2020 | 45.39 Mn |
| Sep 30, 2020 | 21.13 Mn |
| Jun 30, 2020 | 21.14 Mn |
| Mar 31, 2020 | 25.87 Mn |
| Dec 31, 2019 | 25.40 Mn |
| Jun 30, 2019 | 14.80 Mn |
| Mar 31, 2019 | 20.33 Mn |
| Dec 31, 2018 | 16.36 Mn |
| Sep 30, 2018 | 20.37 Mn |
| Jun 30, 2018 | 17.51 Mn |
| Mar 31, 2018 | 21.71 Mn |
| Dec 31, 2017 | 17.63 Mn |
| Sep 30, 2017 | 16.65 Mn |
| Jun 30, 2017 | 12.37 Mn |
| Mar 31, 2017 | 11.12 Mn |
| Dec 31, 2016 | 10.08 Mn |
| Sep 30, 2016 | 8.61 Mn |
Fortress Biotech 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=FBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FBIO", "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=FBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();