Pharming (PHAR) Return on Sales [ROS] (2020 - 2026)
Pharming (PHAR) reported Return on Sales [ROS] of 25.43% for Q3 2026, up 9.19 percentage points from 16.24% a year earlier and up 27.64 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 Sep 30, 2026, Pharming's Return on Sales [ROS] came in at -3.62%, down 2.34 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 -29.07 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 (+5.16 pp) and 8.65% in FY2021 (-27.29 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since 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 +3278176.98 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 Q3 2026 came in at -2.21% (Q2 2026), -6.77% (Q1 2026) and 5.82% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | 25.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.43% |
| Jun 30, 2026 | -2.21% |
| Mar 31, 2026 | -6.78% |
| Dec 31, 2025 | 5.82% |
| Sep 30, 2025 | 16.24% |
| Jun 30, 2025 | 2.21% |
| Mar 31, 2025 | -8.91% |
| Dec 31, 2024 | 7.23% |
| Sep 30, 2024 | 5.48% |
| Jun 30, 2024 | -14.99% |
| Mar 31, 2024 | -29.35% |
| 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% |
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();