Ultragenyx Pharmaceutical (RARE) Net Margin (2016 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Net Margin of -42.99% for Q2 2026, up 25.87 percentage points from -68.86% a year earlier and up 93.04 percentage points from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Net Margin (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ultragenyx Pharmaceutical's Net Margin came in at -81.70%, up 5.61 percentage points year-over-year; for FY2025, it was -85.44%, up 16.17 percentage points from FY2024.
- Net Margin has increased for three consecutive years, though with a five-year change of -16.60 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -101.61% in FY2024 (+38.25 pp), -139.86% in FY2023 (+54.84 pp), -194.71% in FY2022 (-65.50 pp) and -129.20% in FY2021 (-60.37 pp).
- The Q2 2026 figure ranks as the highest quarterly Net Margin since Q4 2020.
- Year over year, Net Margin gained in six of the last eight quarters, with an average year-over-year change of +19.06 percentage points.
- The high point for year-over-year Net Margin in five years was Q3 2023 (a gain of 107.41 percentage points); the low point was Q3 2022 (a drop of 180.82 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -136.03% (Q1 2026), -62.02% (Q4 2025) and -112.81% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | -1.65% |
| 10 | Ultragenyx Pharmaceutical | 1.62 Bn | -189.53 Mn | 180.00 Mn | -42.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.99% |
| Mar 31, 2026 | -136.03% |
| Dec 31, 2025 | -62.02% |
| Sep 30, 2025 | -112.81% |
| Jun 30, 2025 | -68.86% |
| Mar 31, 2025 | -108.63% |
| Dec 31, 2024 | -80.90% |
| Sep 30, 2024 | -95.71% |
| Jun 30, 2024 | -89.51% |
| Mar 31, 2024 | -156.83% |
| Dec 31, 2023 | -97.17% |
| Sep 30, 2023 | -162.82% |
| Jun 30, 2023 | -147.57% |
| Mar 31, 2023 | -163.16% |
| Dec 31, 2022 | -146.91% |
| Sep 30, 2022 | -270.23% |
| Jun 30, 2022 | -177.03% |
| Mar 31, 2022 | -190.55% |
| Dec 31, 2021 | -146.85% |
| Sep 30, 2021 | -89.41% |
Ultragenyx Pharmaceutical Net Margin 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=net-margin&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();