Argenx Se (ARGX) Raw Materials (2015 - 2024)
Argenx Se's (ARGX) quarterly Raw Materials came in at $250.9 million in Q2 2024, up 121.78% on a YoY basis from $113.1 million in Q3 2023, and up 4.18% quarter-over-quarter from $240.8 million in Q4 2023.
Argenx Se (ARGX) Raw Materials (2015 - 2024) Analysis & Trends
Argenx Se (ARGX) has reported Raw Materials for 9 consecutive years, with $250.9 million the latest figure, recorded in Q2 2024.
- For the quarter ending Q2 2024, Raw Materials rose 121.78% year-over-year to $250.9 million; the trailing twelve-month figure through Jun 2024 stood at $250.9 million (up 121.78% YoY), and the FY2023 full-year result was $240.8 million, up 91.07% from the prior year.
- Raw Materials advanced to $250.9 million in Q2 2024 per ARGX's latest filing, from $240.8 million in the prior quarter.
- Across five years, Raw Materials topped out at $250.9 million in Q2 2024 and bottomed at $5.5 million in Q2 2020.
- Historically, Raw Materials has averaged $102.3 million across 5 years, with a median of $70.1 million in 2021.
- The sharpest annual moves came in 2021 and 2022: Raw Materials surged 652.1% in 2021, then surged 33.32% in 2022.
- Over 5 years, Raw Materials stood at $18.1 million in 2020, then soared by 287.91% to $70.1 million in 2021, then jumped by 79.72% to $126.0 million in 2022, then soared by 91.07% to $240.8 million in 2023, then advanced by 4.18% to $250.9 million in 2024.
- According to Business Quant data, Raw Materials over the past three periods registered $250.9 million, $240.8 million, and $113.1 million for Q2 2024, Q4 2023, and Q2 2023 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 Bn | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 250.89 Mn |
| Dec 31, 2023 | 240.84 Mn |
| Jun 30, 2023 | 113.13 Mn |
| Dec 31, 2022 | 126.05 Mn |
| Jun 30, 2022 | 54.97 Mn |
| Dec 31, 2021 | 70.13 Mn |
| Jun 30, 2021 | 41.23 Mn |
| Dec 31, 2020 | 18.08 Mn |
| Jun 30, 2020 | 5.48 Mn |
| Dec 31, 2018 | 1.67 Mn |
| Dec 31, 2017 | 1.84 Mn |
| Dec 31, 2016 | 1.27 Mn |
| Dec 31, 2015 | 1.15 Mn |
Argenx Se Raw Materials 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=raw-materials&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();