Pharming (PHAR) Shares Outstanding (Diluted) (2019 - 2026)
Pharming (PHAR) reported Weighted Average Shares Outstanding (Diluted) of 74.69 million for Q3 2026, down 4.9% from 78.54 million a year earlier and unchanged from the prior quarter.
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Analysis
Pharming (PHAR) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, Pharming's Weighted Average Shares Outstanding (Diluted) record includes 26 quarters.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 78.54 million in FY2024 (+8.3%), 72.55 million in FY2023 (+2.6%), 70.71 million in FY2022 (+0.9%) and 70.12 million in FY2021 (+2.7%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 70.12 million in Q4 2021 and a high of 78.54 million in Q3 2025.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last four quarters, with growth averaging 1.7% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2025 (growth of 8.3%); the low point was Q4 2025 (a decline of 4.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 74.69 million (Q2 2026), 74.69 million (Q1 2026) and 74.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | 74.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.69 Mn |
| Jun 30, 2026 | 74.69 Mn |
| Mar 31, 2026 | 74.69 Mn |
| Dec 31, 2025 | 74.69 Mn |
| Sep 30, 2025 | 78.54 Mn |
| Jun 30, 2025 | 78.54 Mn |
| Mar 31, 2025 | 78.54 Mn |
| Dec 31, 2024 | 78.54 Mn |
| Sep 30, 2024 | 72.55 Mn |
| Jun 30, 2024 | 72.55 Mn |
| Mar 31, 2024 | 72.55 Mn |
| Dec 31, 2023 | 72.55 Mn |
| Sep 30, 2023 | 70.71 Mn |
| Jun 30, 2023 | 70.71 Mn |
| Mar 31, 2023 | 70.71 Mn |
| Dec 31, 2022 | 70.71 Mn |
| Sep 30, 2022 | 70.12 Mn |
| Jun 30, 2022 | 70.12 Mn |
| Mar 31, 2022 | 70.12 Mn |
| Dec 31, 2021 | 70.12 Mn |
API Access
Pharming Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();