Pharming (PHAR) Operating Margin (2020 - 2026)
Pharming's Operating Margin was -2.21% in Q2 2026, down 4.42 percentage points from 2.21% a year earlier but up 4.56 percentage points from the prior quarter.
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Analysis
Pharming (PHAR) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pharming's Operating Margin was 2.20% through Jun 30, 2026, up 1.92 percentage points year-over-year; for FY2025, it came in at 6.87%, up 12.02 percentage points from FY2024.
- Operating Margin shows a five-year change of -29.07 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -5.15% in FY2024 (-2.95 pp), -2.20% in FY2023 (-16.01 pp), 13.81% in FY2022 (+5.16 pp) and 8.65% in FY2021 (-27.29 pp).
- Quarterly Operating Margin has moved between -26225371.12% (Q2 2024) and 35.53% (Q2 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in six of the last eight quarters, with an average year-over-year change of +3278176.16 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q2 2025 (a gain of 26225373.33 percentage points); the worst was Q2 2024 (a drop of 26225380.77 percentage points).
- Per Business Quant data, PHAR's Operating Margin in the three quarters before Q2 2026 was -6.77% (Q1 2026), 5.82% (Q4 2025) and 16.24% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Pharming | 738.17 Mn | -91.99 Mn | 141.47 Mn | -2.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.21% |
| Mar 31, 2026 | -6.77% |
| Dec 31, 2025 | 5.82% |
| Sep 30, 2025 | 16.24% |
| Jun 30, 2025 | 2.21% |
| Mar 31, 2025 | -8.85% |
| Dec 31, 2024 | 7.23% |
| Sep 30, 2024 | 5.48% |
| Jun 30, 2024 | -26,225,371.12% |
| Mar 31, 2024 | -29.32% |
| Dec 31, 2023 | 1.35% |
| Sep 30, 2023 | 2.86% |
| Jun 30, 2023 | 9.65% |
| Mar 31, 2023 | -32.12% |
| Dec 31, 2022 | -18.68% |
| Sep 30, 2022 | 14.39% |
| Jun 30, 2022 | 35.53% |
| Mar 31, 2022 | 6.01% |
| Dec 31, 2021 | 10.47% |
| Sep 30, 2021 | -3.19% |
API Access
Pharming Operating 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=operating-margin&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();