Pharming (PHAR) Shares Outstanding (Diluted) (2019 - 2026)
Pharming (PHAR) reported Shares Outstanding (Diluted) of 74.69 million for Q2 2026, down 4.9% from 78.54 million a year earlier and unchanged from the prior quarter.
Pharming (PHAR) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, Pharming's Shares Outstanding (Diluted) record includes 25 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, 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 Shares Outstanding (Diluted) spans a low of 68.27 million in Q3 2021 and a high of 78.54 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last three quarters, with growth averaging 2.6% over the last eight quarters.
- The high point for year-over-year 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 Q2 2026 came in at 74.69 million (Q1 2026), 74.69 million (Q4 2025) and 78.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Pharming | 700.98 Mn | -129.18 Mn | 141.47 Mn | 74.69 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 68.27 Mn |
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_KEY
import 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();