Ultragenyx Pharmaceutical (RARE) Return on Capital Employed [ROCE] (2014 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Return on Capital Employed [ROCE] of -56.85% for Q2 2026, down 7.11 percentage points from -49.74% a year earlier and down 5.32 percentage points from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Ultragenyx Pharmaceutical posted Return on Capital Employed [ROCE] of -47.20%, down 0.71 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -20.96 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -46.49% in FY2024 (-0.52 pp), -45.97% in FY2023 (+5.02 pp), -50.99% in FY2022 (-24.83 pp) and -26.15% in FY2021 (+0.09 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -60.99% in Q2 2023 and a high of -27.54% in Q3 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last five quarters, with an average year-over-year change of -2.01 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2024 (a gain of 16.67 percentage points); the low point was Q1 2023 (a drop of 21.45 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -51.53% (Q1 2026), -54.76% (Q4 2025) and -59.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Ultragenyx Pharmaceutical | 1.50 Bn | -302.56 Mn | 180.00 Mn | -56.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -56.85% |
| Mar 31, 2026 | -51.53% |
| Dec 31, 2025 | -54.76% |
| Sep 30, 2025 | -59.91% |
| Jun 30, 2025 | -49.74% |
| Mar 31, 2025 | -46.03% |
| Dec 31, 2024 | -45.55% |
| Sep 30, 2024 | -41.41% |
| Jun 30, 2024 | -46.11% |
| Mar 31, 2024 | -50.30% |
| Dec 31, 2023 | -52.48% |
| Sep 30, 2023 | -58.07% |
| Jun 30, 2023 | -60.99% |
| Mar 31, 2023 | -53.47% |
| Dec 31, 2022 | -49.13% |
| Sep 30, 2022 | -48.77% |
| Jun 30, 2022 | -41.59% |
| Mar 31, 2022 | -32.02% |
| Dec 31, 2021 | -28.87% |
| Sep 30, 2021 | -27.54% |
Ultragenyx Pharmaceutical Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();