Argenx Se (ARGX) Inventory (2020 - 2026)
Argenx Se (ARGX) reported Inventory of $371 million for Q2 2026, down 99.9% from $340.62 billion a year earlier.
Analysis
Argenx Se (ARGX) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Argenx Se posted Inventory of $474 million, down 99.9% from FY2024.
- Inventory has a five-year compound annual growth rate of -54.8% (FY2020 to FY2025).
- By year, Inventory came in at $407.23 billion in FY2024, $310.55 million in FY2023 (-99.9%), $228.35 billion in FY2022 (+109.4%) and $109.08 billion in FY2021 (+332.9%).
- The Q2 2026 figure ranks as the lowest quarterly Inventory since Q2 2024.
- The high point for year-over-year Inventory in five years was Q4 2021 (growth of 345.6%); the low point was Q2 2026 (a decline of 99.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 16.79 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 15.14 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 5.13 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 6.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.22 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 6.93 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.22 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 1.95 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 9.95 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 371.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 371.00 Mn |
| Dec 31, 2025 | 474.00 Mn |
| Jun 30, 2025 | 340.62 Mn |
| Dec 31, 2024 | 407.23 Mn |
| Jun 30, 2024 | 326.46 Mn |
| Dec 31, 2023 | 310.55 Mn |
| Jun 30, 2023 | 201.11 Mn |
| Dec 31, 2022 | 228.35 Mn |
| Jun 30, 2022 | 135.71 Mn |
| Dec 31, 2021 | 109.08 Mn |
| Jun 30, 2021 | 59.22 Mn |
| Dec 31, 2020 | 25.25 Mn |
| Jun 30, 2020 | 5.62 Mn |
API Access
Argenx Se Inventory 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=inventory&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();