Argenx Se (ARGX) Retained Earnings (2015 - 2026)
Argenx Se (ARGX) reported Retained Earnings of $558 million for Q2 2026, compared with -$1.16 trillion a year earlier.
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Analysis
Argenx Se (ARGX) Retained Earnings (2015 - 2026) Analysis & Trends
At the end of FY2025, Argenx Se posted Retained Earnings of -$280 million.
- By year, Retained Earnings came in at -$1.57 trillion in FY2024, -$2.4 billion in FY2023, -$2.11 trillion in FY2022 and -$1.4 trillion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 31.89 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 171.67 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | -17.33 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 63.27 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | -22.28 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 2.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 112.09 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 558.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.00 Mn |
| Dec 31, 2025 | -280.00 Mn |
| Jun 30, 2025 | -1.16 Bn |
| Dec 31, 2024 | -1.57 Bn |
| Jun 30, 2024 | -2.44 Bn |
| Dec 31, 2023 | -2.40 Bn |
| Jun 30, 2023 | -2.23 Bn |
| Dec 31, 2022 | -2.11 Bn |
| Jun 30, 2022 | -1.84 Bn |
| Dec 31, 2021 | -1.40 Bn |
| Jun 30, 2021 | -928.76 Mn |
| Dec 31, 2020 | -1.06 Bn |
| Jun 30, 2020 | -605.33 Mn |
| Dec 31, 2019 | -372.55 Mn |
| Jun 30, 2019 | -244.20 Mn |
| Dec 31, 2018 | -194.02 Mn |
| Jun 30, 2018 | -142.27 Mn |
| Dec 31, 2017 | -120.10 Mn |
| Jun 30, 2017 | -92.32 Mn |
| Dec 31, 2016 | -76.66 Mn |
API Access
Argenx Se Retained Earnings 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=retained-earnings&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();