Argenx Se (ARGX) Total Liabilities (2015 - 2026)
Argenx Se (ARGX) recorded Total Liabilities of $1.62 billion in Q2 2026, compared with -$6.09 trillion a year earlier.
Analysis
Argenx Se (ARGX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Argenx Se reported Total Liabilities of $1.36 billion.
- Across earlier years, Total Liabilities came in at -$5.49 trillion in FY2024, $444.95 million in FY2023, -$2.81 trillion in FY2022 and -$2.53 trillion in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 1.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Dec 31, 2024 | -5,492.08 Bn |
| Jun 30, 2024 | 534.31 Mn |
| Dec 31, 2023 | 444.95 Mn |
| Jun 30, 2023 | 335.74 Mn |
| Dec 31, 2022 | 320.56 Mn |
| Jun 30, 2022 | 279.02 Mn |
| Dec 31, 2021 | 316.05 Mn |
| Jun 30, 2021 | 261.09 Mn |
| Dec 31, 2020 | 606.78 Mn |
| Jun 30, 2020 | 456.63 Mn |
| Dec 31, 2019 | 428.59 Mn |
| Jun 30, 2019 | 390.94 Mn |
| Dec 31, 2018 | 45.83 Mn |
| Jun 30, 2018 | 31.29 Mn |
| Dec 31, 2017 | 33.88 Mn |
| Jun 30, 2017 | 40.31 Mn |
| Dec 31, 2016 | 44.84 Mn |
API Access
Argenx Se Total Liabilities 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=total-liabilities&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();