Argenx Se (ARGX) Operating Leases (2019 - 2026)
Argenx Se's Operating Leases was $36 million in Q2 2026, up 1.2% from $35.57 million a year earlier.
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Analysis
Argenx Se (ARGX) Operating Leases (2019 - 2026) Analysis & Trends
From Q2 2019 onward, Argenx Se has reported Operating Leases for 15 quarters.
- Operating Leases has now increased for six consecutive years, with a five-year compound annual growth rate of 42.2% (FY2020 to FY2025).
- In earlier years, Operating Leases was $32.52 million in FY2024 (+111.8%), $15.35 million in FY2023 (+70.4%), $9.01 million in FY2022 (+13.2%) and $7.96 million in FY2021 (+28.7%).
- Across the past five years, year-over-year growth in Operating Leases ran from 1.2% in Q2 2026 to 249.4% in Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn |
| 10 | Argenx Se | 56.96 Bn | 56.96 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.00 Mn |
| Dec 31, 2025 | 36.00 Mn |
| Jun 30, 2025 | 35.57 Mn |
| Dec 31, 2024 | 32.52 Mn |
| Jun 30, 2024 | 28.11 Mn |
| Dec 31, 2023 | 15.35 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Dec 31, 2022 | 9.01 Mn |
| Jun 30, 2022 | 6.21 Mn |
| Dec 31, 2021 | 7.96 Mn |
| Jun 30, 2021 | 4.43 Mn |
| Dec 31, 2020 | 6.19 Mn |
| Jun 30, 2020 | 5.25 Mn |
| Dec 31, 2019 | 5.09 Mn |
| Jun 30, 2019 | 4.19 Mn |
API Access
Argenx Se Operating Leases 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=operating-leases&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();