Forte Biosciences (FBRX) Non Operating Interest Expenses (2016 - 2020)
Forte Biosciences (FBRX) posted Non Operating Interest Expenses of $756,000 for Q1 2020, up 0.3% from $754,000 a year earlier and up 129.1% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Non Operating Interest Expenses (2016 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Non Operating Interest Expenses at Forte Biosciences was $3.82 million, up 14.6% year-over-year; for FY2019, it was $3.82 million, up 30.4% from FY2018.
- Annual Non Operating Interest Expenses shows a four-year compound annual growth rate of 83.2% (FY2015 to FY2019).
- In prior years, Forte Biosciences' Non Operating Interest Expenses was $2.93 million in FY2018 (+51.7%), $1.93 million in FY2017 (-5.8%), $2.05 million in FY2016 (+505.3%) and $339,000 in FY2015.
- Quarterly Non Operating Interest Expenses has run from a low of $330,000 in Q4 2019 to a high of $1.97 million in Q3 2019 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in six of the last eight quarters, with growth averaging 60.1%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2019, with growth of 165.9%; the weakest was Q4 2019, with a decline of 55.8%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $330,000 (Q4 2019), $1.97 million (Q3 2019) and $764,000 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 756,000.00 |
| Dec 31, 2019 | 330,000.00 |
| Sep 30, 2019 | 1.97 Mn |
| Jun 30, 2019 | 764,000.00 |
| Mar 31, 2019 | 754,000.00 |
| Dec 31, 2018 | 746,000.00 |
| Sep 30, 2018 | 742,000.00 |
| Jun 30, 2018 | 1.09 Mn |
| Mar 31, 2018 | 349,000.00 |
| Dec 31, 2017 | 391,000.00 |
| Sep 30, 2017 | 430,000.00 |
| Jun 30, 2017 | 495,000.00 |
| Mar 31, 2017 | 616,000.00 |
| Dec 31, 2016 | 533,000.00 |
| Sep 30, 2016 | 511,000.00 |
| Jun 30, 2016 | 505,000.00 |
| Mar 31, 2016 | 503,000.00 |
API Access
Forte Biosciences Non Operating Interest 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=non-operating-interest-expenses&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FBRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();