Rigel Pharmaceuticals (RIGL) Return on Sales [ROS] (2010 - 2026)
Rigel Pharmaceuticals (RIGL) reported Return on Sales [ROS] of 29.95% for Q2 2026, down 30.14 percentage points from 60.09% a year earlier but up 9.75 percentage points from the prior quarter.
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Analysis
Rigel Pharmaceuticals (RIGL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rigel Pharmaceuticals' Return on Sales [ROS] came in at 31.45%, down 7.59 percentage points year-over-year; for FY2025, it was 42.63%, up 29.14 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +69.31 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 13.49% in FY2024 (+31.03 pp), -17.53% in FY2023 (+28.67 pp), -46.20% in FY2022 (-37.83 pp) and -8.37% in FY2021 (+18.30 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -156.92% in Q1 2022 and a high of 60.09% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +19.63 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 109.00 percentage points); the low point was Q1 2022 (a drop of 208.46 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 20.21% (Q1 2026), 33.19% (Q4 2025) and 40.91% (Q3 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 | Rigel Pharmaceuticals | 826.82 Mn | 330.55 Mn | 70.11 Mn | 21.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.15% |
| Jun 30, 2026 | 29.95% |
| Mar 31, 2026 | 20.21% |
| Dec 31, 2025 | 33.19% |
| Sep 30, 2025 | 40.91% |
| Jun 30, 2025 | 60.09% |
| Mar 31, 2025 | 23.95% |
| Dec 31, 2024 | 28.92% |
| Sep 30, 2024 | 25.41% |
| Jun 30, 2024 | 1.21% |
| Mar 31, 2024 | -23.59% |
| Dec 31, 2023 | 5.49% |
| Sep 30, 2023 | -15.87% |
| Jun 30, 2023 | -19.59% |
| Mar 31, 2023 | -48.81% |
| Dec 31, 2022 | 4.05% |
| Sep 30, 2022 | -82.12% |
| Jun 30, 2022 | -43.48% |
| Mar 31, 2022 | -156.92% |
| Dec 31, 2021 | -104.94% |
API Access
Rigel Pharmaceuticals 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=RIGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RIGL", "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=RIGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();