Argenx Se (ARGX) Change in Cash (2015 - 2023)
Argenx Se (ARGX) posted Change in Cash of $1.22 billion for FY2023, up 24.0% from $987.3 million in FY2022.
Analysis
Argenx Se (ARGX) Change in Cash (2015 - 2023) Analysis & Trends
Since FY2015, Argenx Se has reported Change in Cash for 9 years.
- Annual Change in Cash shows a five-year compound annual growth rate of 66.7% (FY2018 to FY2023).
- Annual Change in Cash has run from a low of $987.3 million in FY2022 to a high of $779.23 billion in FY2020 over five years.
- Business Quant data shows ARGX's Change in Cash at $987.3 million in FY2022 (-99.4%), $167.46 billion in FY2021 (-78.5%), $779.23 billion in FY2020 and $52.09 billion in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 3.67 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | -1.27 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | -2.82 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 1.49 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 739.00 Mn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | -2.64 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 1.95 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -4.45 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | -727.00 Mn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 488.90 Mn |
| Mar 31, 2023 | -185.04 Mn |
| Dec 31, 2022 | -1.47 Bn |
| Sep 30, 2022 | 911.62 Mn |
| Jun 30, 2022 | -437.24 Mn |
| Mar 31, 2022 | 518.66 Mn |
| Dec 31, 2021 | 166.92 Bn |
| Sep 30, 2021 | 151.58 Mn |
| Jun 30, 2021 | -524.97 Mn |
| Mar 31, 2021 | 910.90 Mn |
| Jun 30, 2020 | 58.79 Mn |
| Mar 31, 2020 | 910.90 Mn |
| Dec 31, 2015 | -67.78 Mn |
API Access
Argenx Se Change in Cash 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=change-in-cash&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "ticker": "ARGX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-cash&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();