Ultragenyx Pharmaceutical (RARE) Revenue (2016 - 2026)
Ultragenyx Pharmaceutical (RARE) recorded Revenue of $214 million in Q2 2026, up 28.1% from $167 million a year earlier and up 57.4% from the prior quarter.
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Analysis
Ultragenyx Pharmaceutical (RARE) Revenue (2016 - 2026) Analysis & Trends
On a TTM basis, Ultragenyx Pharmaceutical's Revenue came in at $717.21 million as of Jun 30, 2026, up 17.5% year-over-year; for FY2025, it was $673 million, up 20.2% from FY2024.
- Annual Revenue has increased for seven straight years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $560 million in FY2024 (+29.0%), $434 million in FY2023 (+19.5%), $363.33 million in FY2022 (+3.4%) and $351.41 million in FY2021 (+29.7%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2016.
- On a year-over-year basis, Revenue rose in seven of the last eight quarters, with growth averaging 22.4%.
- Peak year-over-year performance for Revenue in the last five years was growth of 42.3% in Q3 2024, against a decline of 19.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $136 million (Q1 2026), $207.28 million (Q4 2025) and $159.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.48 Bn | -321.29 Mn | 180.00 Mn | 214.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.00 Mn |
| Mar 31, 2026 | 136.00 Mn |
| Dec 31, 2025 | 207.28 Mn |
| Sep 30, 2025 | 159.93 Mn |
| Jun 30, 2025 | 167.00 Mn |
| Mar 31, 2025 | 139.00 Mn |
| Dec 31, 2024 | 164.65 Mn |
| Sep 30, 2024 | 139.49 Mn |
| Jun 30, 2024 | 147.03 Mn |
| Mar 31, 2024 | 108.83 Mn |
| Dec 31, 2023 | 127.14 Mn |
| Sep 30, 2023 | 98.05 Mn |
| Jun 30, 2023 | 108.31 Mn |
| Mar 31, 2023 | 100.50 Mn |
| Dec 31, 2022 | 103.35 Mn |
| Sep 30, 2022 | 90.70 Mn |
| Jun 30, 2022 | 89.34 Mn |
| Mar 31, 2022 | 79.94 Mn |
| Dec 31, 2021 | 83.39 Mn |
| Sep 30, 2021 | 81.65 Mn |
API Access
Ultragenyx Pharmaceutical Revenue 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=revenue&ticker=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();