Ultragenyx Pharmaceutical (RARE) Return on Assets [ROA] (2014 - 2026)
Ultragenyx Pharmaceutical (RARE) recorded Return on Assets [ROA] of -45.78% in Q2 2026, down 5.09 percentage points from -40.69% a year earlier and down 2.71 percentage points from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Return on Assets [ROA] (2014 - 2026) Analysis & Trends
For FY2025, Ultragenyx Pharmaceutical reported Return on Assets [ROA] of -37.89%, up 0.12 percentage points from FY2024.
- Annual Return on Assets [ROA] has increased for three straight years, though with a five-year change of -25.00 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -38.01% in FY2024 (+1.97 pp), -39.98% in FY2023 (+6.14 pp), -46.12% in FY2022 (-18.45 pp) and -27.67% in FY2021 (-14.78 pp).
- Quarterly Return on Assets [ROA] has ranged from -53.49% in Q2 2023 to -23.73% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for five consecutive quarters, with an average year-over-year change of +0.09 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 14.40 percentage points in Q3 2024, against a drop of 22.41 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -43.07% (Q1 2026), -42.24% (Q4 2025) and -46.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | Ultragenyx Pharmaceutical | 1.50 Bn | -302.56 Mn | 180.00 Mn | -45.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.78% |
| Mar 31, 2026 | -43.07% |
| Dec 31, 2025 | -42.24% |
| Sep 30, 2025 | -46.43% |
| Jun 30, 2025 | -40.69% |
| Mar 31, 2025 | -39.03% |
| Dec 31, 2024 | -37.42% |
| Sep 30, 2024 | -35.44% |
| Jun 30, 2024 | -40.03% |
| Mar 31, 2024 | -43.87% |
| Dec 31, 2023 | -44.48% |
| Sep 30, 2023 | -49.84% |
| Jun 30, 2023 | -53.49% |
| Mar 31, 2023 | -49.10% |
| Dec 31, 2022 | -44.72% |
| Sep 30, 2022 | -46.14% |
| Jun 30, 2022 | -37.41% |
| Mar 31, 2022 | -32.36% |
| Dec 31, 2021 | -30.20% |
| Sep 30, 2021 | -23.73% |
Ultragenyx Pharmaceutical Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();