Pharming (PHAR) Retained Earnings (2019 - 2026)
Powered by 
Analysis
Pharming (PHAR) Retained Earnings (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 37.97 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 168.36 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | -16.19 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 66.22 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -19.81 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 3.11 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.33 Bn |
| 10 | Pharming | 898.85 Mn | 429.52 Mn | - | -272.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -255.28 Mn |
| Jun 30, 2026 | -278.25 Mn |
| Mar 31, 2026 | -281.46 Mn |
| Dec 31, 2025 | -272.98 Mn |
| Sep 30, 2025 | -276.88 Mn |
| Jun 30, 2025 | -286.03 Mn |
| Mar 31, 2025 | -292.80 Mn |
| Dec 31, 2024 | -275.49 Mn |
| Sep 30, 2024 | -278.37 Mn |
| Jun 30, 2024 | -280.05 Mn |
| Mar 31, 2024 | -277.39 Mn |
| Dec 31, 2023 | -265.26 Mn |
| Sep 30, 2023 | -262.78 Mn |
| Jun 30, 2023 | -265.49 Mn |
| Mar 31, 2023 | -266.49 Mn |
| Dec 31, 2022 | -256.43 Mn |
| Sep 30, 2022 | -242,533.00 |
| Jun 30, 2022 | -253.55 Mn |
| Mar 31, 2022 | -270.50 Mn |
| Dec 31, 2021 | -273.17 Mn |
API Access
Pharming 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=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "PHAR", "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=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();