Pharming (PHAR) Gross Margin (2020 - 2026)
Pharming's Gross Margin was 86.97% in Q2 2026, down 2.99 percentage points from 89.96% a year earlier and down 3.91 percentage points from the prior quarter.
Pharming (PHAR) Gross Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pharming's Gross Margin was 89.50% through Jun 30, 2026, down 0.57 percentage points year-over-year; for FY2025, it came in at 87.90%, down 0.19 percentage points from FY2024.
- Gross Margin has now declined for three consecutive years, with a five-year change of -1.00 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 88.09% in FY2024 (-1.63 pp), 89.72% in FY2023 (-1.74 pp), 91.46% in FY2022 (+2.09 pp) and 89.37% in FY2021 (+0.46 pp).
- Quarterly Gross Margin has moved between 80.19% (Q4 2025) and 152917678.81% (Q2 2024) over five years.
- Compared with a year earlier, Gross Margin was higher in four of the last eight quarters, with an average year-over-year change of -19114698.97 percentage points.
- The best year-over-year quarter for Gross Margin over five years was Q2 2024 (a gain of 152917519.18 percentage points); the worst was Q2 2025 (a drop of 152917588.85 percentage points).
- Per Business Quant data, PHAR's Gross Margin in the three quarters before Q2 2026 was 90.89% (Q1 2026), 80.19% (Q4 2025) and 92.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 78.02% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 83.60% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 72.04% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 79.76% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 72.78% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 85.33% |
| 10 | Pharming | 738.17 Mn | -91.99 Mn | 141.47 Mn | 86.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.97% |
| Mar 31, 2026 | 90.89% |
| Dec 31, 2025 | 80.19% |
| Sep 30, 2025 | 92.70% |
| Jun 30, 2025 | 89.96% |
| Mar 31, 2025 | 89.51% |
| Dec 31, 2024 | 86.84% |
| Sep 30, 2024 | 90.91% |
| Jun 30, 2024 | 152,917,678.81% |
| Mar 31, 2024 | 84.89% |
| Dec 31, 2023 | 91.26% |
| Sep 30, 2023 | 87.56% |
| Jun 30, 2023 | 159.63% |
| Mar 31, 2023 | 90.42% |
| Dec 31, 2022 | 88.46% |
| Sep 30, 2022 | 95.76% |
| Jun 30, 2022 | 92.02% |
| Mar 31, 2022 | 89.48% |
| Dec 31, 2021 | 89.39% |
| Sep 30, 2021 | 88.64% |
Pharming Gross Margin 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=gross-margin&ticker=PHAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();