Novartis Ag (NVS) Receivables - Other (2016 - 2024)
Novartis Ag's Receivables - Other came in at $1.33 billion for Q4 2024, up 6.1% from $1.25 billion a year earlier.
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Analysis
Novartis Ag (NVS) Receivables - Other (2016 - 2024) Analysis & Trends
Going back to Q4 2016, Novartis Ag's Receivables - Other data covers 9 quarters.
- Receivables - Other has increased in each of the last three years, with a five-year compound annual growth rate of 2.7% (FY2019 to FY2024).
- Going back by year, Receivables - Other was $1.25 billion in FY2023 (+30.7%), $958 million in FY2022 (+20.8%), $793 million in FY2021 (-17.7%) and $963 million in FY2020 (-17.3%).
- The Q4 2024 figure represents the highest quarterly Receivables - Other since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 135.58 Bn | 107.59 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 958.00 Mn |
| Dec 31, 2021 | 793.00 Mn |
| Dec 31, 2020 | 963.00 Mn |
| Dec 31, 2019 | 1.17 Bn |
| Dec 31, 2018 | 1.36 Bn |
| Dec 31, 2017 | 1.03 Bn |
| Dec 31, 2016 | 1.03 Bn |
API Access
Novartis Ag Receivables - Other 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=receivables-other&ticker=NVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();