Ultragenyx Pharmaceutical (RARE) Return on Sales [ROS] (2016 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Return on Sales [ROS] of -35.05% for Q2 2026, up 29.62 percentage points from -64.67% a year earlier and up 89.22 percentage points from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ultragenyx Pharmaceutical's Return on Sales [ROS] came in at -73.64%, up 9.17 percentage points year-over-year; for FY2025, it was -79.49%, up 16.22 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +42.31 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -95.71% in FY2024 (+35.39 pp), -131.11% in FY2023 (+47.50 pp), -178.60% in FY2022 (-69.97 pp) and -108.63% in FY2021 (+13.17 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q2 2016.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +19.26 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 100.16 percentage points); the low point was Q3 2022 (a drop of 138.12 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -124.26% (Q1 2026), -54.65% (Q4 2025) and -106.85% (Q3 2025).
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 | Ultragenyx Pharmaceutical | 1.50 Bn | -302.56 Mn | 180.00 Mn | -35.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -35.05% |
| Mar 31, 2026 | -124.26% |
| Dec 31, 2025 | -54.65% |
| Sep 30, 2025 | -106.85% |
| Jun 30, 2025 | -64.67% |
| Mar 31, 2025 | -102.88% |
| Dec 31, 2024 | -74.28% |
| Sep 30, 2024 | -94.62% |
| Jun 30, 2024 | -79.14% |
| Mar 31, 2024 | -151.93% |
| Dec 31, 2023 | -95.83% |
| Sep 30, 2023 | -147.98% |
| Jun 30, 2023 | -136.61% |
| Mar 31, 2023 | -153.34% |
| Dec 31, 2022 | -140.91% |
| Sep 30, 2022 | -248.14% |
| Jun 30, 2022 | -158.48% |
| Mar 31, 2022 | -170.93% |
| Dec 31, 2021 | -122.99% |
| Sep 30, 2021 | -110.02% |
Ultragenyx Pharmaceutical 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=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RARE", "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=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();