Fate Therapeutics (FATE) Non Operating Interest Expenses (2013 - 2019)
Fate Therapeutics' Non Operating Interest Expenses came in at $586,000 for Q4 2019, up 35.0% from $434,000 a year earlier and up 46.5% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Non Operating Interest Expenses (2013 - 2019) Analysis & Trends
For FY2019, Fate Therapeutics' Non Operating Interest Expenses was $1.8 million, up 5.9% from FY2018.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 26.8% (FY2014 to FY2019).
- Going back by year, Non Operating Interest Expenses was $1.7 million in FY2018 (+34.1%), $1.27 million in FY2017 (-22.5%), $1.64 million in FY2016 (-26.3%) and $2.22 million in FY2015 (+304.4%).
- The Q4 2019 figure represents the highest quarterly Non Operating Interest Expenses since Q3 2015.
- Year-over-year, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 24.6%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2015 (growth of 220.9%), and the weakest in Q2 2017 (a decline of 51.3%).
- Business Quant data shows FATE's Non Operating Interest Expenses at $400,000 (Q3 2019), $409,000 (Q2 2019) and $405,000 (Q1 2019) in the three quarters before Q4 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 | Fate Therapeutics | 276.57 Mn | 276.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 586,000.00 |
| Sep 30, 2019 | 400,000.00 |
| Jun 30, 2019 | 409,000.00 |
| Mar 31, 2019 | 405,000.00 |
| Dec 31, 2018 | 434,000.00 |
| Sep 30, 2018 | 429,000.00 |
| Jun 30, 2018 | 425,000.00 |
| Mar 31, 2018 | 412,000.00 |
| Dec 31, 2017 | 412,000.00 |
| Sep 30, 2017 | 378,000.00 |
| Jun 30, 2017 | 212,000.00 |
| Mar 31, 2017 | 266,000.00 |
| Dec 31, 2016 | 329,000.00 |
| Sep 30, 2016 | 385,000.00 |
| Jun 30, 2016 | 435,000.00 |
| Mar 31, 2016 | 500,000.00 |
| Dec 31, 2015 | 520,000.00 |
| Sep 30, 2015 | 600,000.00 |
| Jun 30, 2015 | 600,000.00 |
| Mar 31, 2015 | 600,000.00 |
API Access
Fate Therapeutics 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=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FATE", "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=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();