Ultragenyx Pharmaceutical (RARE) Operating Expenses (2013 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Operating Expenses of $289 million for Q2 2026, up 5.1% from $275 million a year earlier but down 5.2% from the prior quarter.
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Analysis
Ultragenyx Pharmaceutical (RARE) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ultragenyx Pharmaceutical's Operating Expenses came in at $1.25 billion, up 11.7% year-over-year; for FY2025, it came in at $1.21 billion, up 10.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.1 billion in FY2024 (+9.3%), $1 billion in FY2023 (-0.9%), $1.01 billion in FY2022 (+38.1%) and $733.14 million in FY2021 (+22.0%).
- Five-year quarterly Operating Expenses spans a low of $171.48 million in Q3 2021 and a high of $330.82 million in Q3 2025.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 10.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 84.1%); the low point was Q3 2023 (a decline of 23.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $305 million (Q1 2026), $320.56 million (Q4 2025) and $330.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.48 Bn | -321.29 Mn | 180.00 Mn | 289.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 289.00 Mn |
| Mar 31, 2026 | 305.00 Mn |
| Dec 31, 2025 | 320.56 Mn |
| Sep 30, 2025 | 330.82 Mn |
| Jun 30, 2025 | 275.00 Mn |
| Mar 31, 2025 | 282.00 Mn |
| Dec 31, 2024 | 286.95 Mn |
| Sep 30, 2024 | 271.48 Mn |
| Jun 30, 2024 | 263.39 Mn |
| Mar 31, 2024 | 274.18 Mn |
| Dec 31, 2023 | 248.98 Mn |
| Sep 30, 2023 | 243.15 Mn |
| Jun 30, 2023 | 256.27 Mn |
| Mar 31, 2023 | 254.60 Mn |
| Dec 31, 2022 | 248.98 Mn |
| Sep 30, 2022 | 315.77 Mn |
| Jun 30, 2022 | 230.94 Mn |
| Mar 31, 2022 | 216.57 Mn |
| Dec 31, 2021 | 185.95 Mn |
| Sep 30, 2021 | 171.48 Mn |
API Access
Ultragenyx Pharmaceutical Operating Expenses 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=operating-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();