Fate Therapeutics (FATE) Total Debt (2012 - 2019)
Fate Therapeutics (FATE) posted Total Debt of $13.93 million for Q3 2019, down 6.3% from $14.87 million a year earlier and down 6.6% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Total Debt (2012 - 2019) Analysis & Trends
At the end of FY2018, Fate Therapeutics' Total Debt came in at $14.88 million, up 0.5% from FY2017.
- Annual Total Debt shows a five-year compound annual growth rate of 53.4% (FY2013 to FY2018).
- In prior years, Fate Therapeutics' Total Debt was $14.81 million in FY2017 (+38.5%), $10.69 million in FY2016 (-58.8%), $25.93 million in FY2015 (+32.2%) and $19.61 million in FY2014.
- The Q3 2019 figure stands as the lowest quarterly Total Debt since Q2 2017.
- On a year-over-year basis, Total Debt increased in six of the last eight quarters, with growth averaging 18.4%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2018, with growth of 122.4%; the weakest was Q2 2017, with a decline of 70.3%.
- According to Business Quant data, Total Debt for the three prior quarters was $14.92 million (Q2 2019), $14.9 million (Q1 2019) and $14.88 million (Q4 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Fate Therapeutics | 215.18 Mn | 76.08 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 13.93 Mn |
| Jun 30, 2019 | 14.92 Mn |
| Mar 31, 2019 | 14.90 Mn |
| Dec 31, 2018 | 14.88 Mn |
| Sep 30, 2018 | 14.87 Mn |
| Jun 30, 2018 | 14.85 Mn |
| Mar 31, 2018 | 14.83 Mn |
| Dec 31, 2017 | 14.81 Mn |
| Sep 30, 2017 | 14.79 Mn |
| Jun 30, 2017 | 6.68 Mn |
| Mar 31, 2017 | 16.37 Mn |
| Dec 31, 2016 | 10.69 Mn |
| Sep 30, 2016 | 20.75 Mn |
| Jun 30, 2016 | 22.51 Mn |
| Mar 31, 2016 | 24.23 Mn |
| Dec 31, 2015 | 25.93 Mn |
| Sep 30, 2015 | 19.13 Mn |
| Jun 30, 2015 | 19.70 Mn |
| Mar 31, 2015 | 19.67 Mn |
| Dec 31, 2014 | 19.61 Mn |
API Access
Fate Therapeutics Total Debt 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=total-debt&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();