Novartis Ag (NVS) Non-Current Debt (2010 - 2017)
Novartis Ag's Non-Current Debt was -$2.11 billion in Q2 2019, compared with -$464 million a year earlier.
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Analysis
Novartis Ag (NVS) Non-Current Debt (2010 - 2017) Analysis & Trends
At the end of FY2012, Non-Current Debt at Novartis Ag came in at $13.78 billion, down 0.5% from FY2011.
- In earlier years, Non-Current Debt was $13.86 billion in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 35.80 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -23.16 Bn |
| Jun 30, 2017 | -23.00 Bn |
| Mar 31, 2017 | -22.93 Bn |
| Sep 30, 2016 | -18.26 Bn |
| Jun 30, 2016 | -16.28 Bn |
| Mar 31, 2016 | -16.47 Bn |
| Dec 31, 2015 | -16.33 Bn |
| Sep 30, 2015 | -13.41 Bn |
| Jun 30, 2015 | -13.30 Bn |
| Mar 31, 2015 | -14.83 Bn |
| Dec 31, 2014 | -13.80 Bn |
| Sep 30, 2014 | -12.67 Bn |
| Mar 31, 2014 | -15.20 Bn |
| Mar 31, 2013 | -11.61 Bn |
| Dec 31, 2012 | -13.78 Bn |
| Sep 30, 2012 | -15.82 Bn |
| Jun 30, 2012 | -13.75 Bn |
| Mar 31, 2012 | -13.90 Bn |
| Dec 31, 2011 | -13.86 Bn |
| Sep 30, 2011 | -13.74 Bn |
API Access
Novartis Ag 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=NVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NVS", "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=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();