Pharming (PHAR) Gross Margin (2020 - 2026)
Pharming's Gross Margin was 86.90% in Q3 2026, down 5.80 percentage points from 92.70% a year earlier and down 0.07 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 88.18% through Sep 30, 2026, down 1.64 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 three of the last eight quarters, with an average year-over-year change of -19114700.11 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 Q3 2026 was 86.97% (Q2 2026), 90.89% (Q1 2026) and 80.19% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 83.88% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 68.12% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 75.38% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 72.95% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.03% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 73.10% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 81.07% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 75.71% |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | 86.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.90% |
| Jun 30, 2026 | 86.97% |
| Mar 31, 2026 | 90.83% |
| Dec 31, 2025 | 80.19% |
| Sep 30, 2025 | 92.70% |
| Jun 30, 2025 | 89.96% |
| Mar 31, 2025 | 89.48% |
| Dec 31, 2024 | 86.84% |
| Sep 30, 2024 | 90.91% |
| Jun 30, 2024 | 87.38% |
| Mar 31, 2024 | 84.91% |
| 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% |
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();