Pharming (PHAR) Return on Sales [ROS] (2020 - 2026)
Pharming (PHAR) reported Return on Sales [ROS] of -2.21% for 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) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pharming's Return on Sales [ROS] came in at 2.20%, up 1.92 percentage points year-over-year; for FY2025, it came in at 6.87%, up 12.02 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -29.04 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -5.15% in FY2024 (-2.95 pp), -2.20% in FY2023 (-16.01 pp), 13.81% in FY2022 (+13.81 pp) and 0.01% in FY2021 (-35.91 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -26225371.12% in Q2 2024 and a high of 35.53% in Q2 2022.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +3278176.16 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 26225373.33 percentage points); the low point was Q2 2024 (a drop of 26225380.77 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Pharming | 684.14 Mn | -146.02 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 | -10.01% |
| Sep 30, 2021 | -3.19% |
API Access
Pharming Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();