Fate Therapeutics (FATE) Non-Current Debt (2012 - 2019)
Fate Therapeutics (FATE) posted Non-Current Debt of $9.47 million for Q2 2019, down 26.2% from $12.84 million a year earlier and down 13.6% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Non-Current Debt (2012 - 2019) Analysis & Trends
At the end of FY2018, Fate Therapeutics' Non-Current Debt came in at $12.45 million, down 16.0% from FY2017.
- Annual Non-Current Debt shows a four-year compound annual growth rate of -8.9% (FY2014 to FY2018).
- In prior years, Fate Therapeutics' Non-Current Debt was $14.81 million in FY2017 (+492.1%), $2.5 million in FY2016 (-86.4%), $18.38 million in FY2015 (+1.7%) and $18.07 million in FY2014.
- The Q2 2019 figure stands as the lowest quarterly Non-Current Debt since Q2 2017.
- On a year-over-year basis, Non-Current Debt has declined in each of the last four quarters, with growth averaging 71.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2017, with growth of 492.1%; the weakest was Q4 2016, with a decline of 86.4%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $10.96 million (Q1 2019), $12.45 million (Q4 2018) and $11.6 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Fate Therapeutics | 252.23 Mn | 98.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 9.47 Mn |
| Mar 31, 2019 | 10.96 Mn |
| Dec 31, 2018 | 12.45 Mn |
| Sep 30, 2018 | 11.60 Mn |
| Jun 30, 2018 | 12.84 Mn |
| Mar 31, 2018 | 14.07 Mn |
| Dec 31, 2017 | 14.81 Mn |
| Sep 30, 2017 | 14.79 Mn |
| Jun 30, 2017 | 6.68 Mn |
| Mar 31, 2017 | 8.75 Mn |
| Dec 31, 2016 | 2.50 Mn |
| Sep 30, 2016 | 12.72 Mn |
| Jun 30, 2016 | 14.65 Mn |
| Mar 31, 2016 | 16.53 Mn |
| Dec 31, 2015 | 18.38 Mn |
| Sep 30, 2015 | 12.64 Mn |
| Jun 30, 2015 | 14.54 Mn |
| Mar 31, 2015 | 16.41 Mn |
| Dec 31, 2014 | 18.07 Mn |
| Sep 30, 2014 | 9.39 Mn |
API Access
Fate Therapeutics Non-Current 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=non-current-debt&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();