Ultragenyx Pharmaceutical (RARE) Other Operating Expenses (2017 - 2026)
Ultragenyx Pharmaceutical (RARE) recorded Other Operating Expenses of $34 million in Q2 2026, up 47.8% from $23 million a year earlier and up 13.3% from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Ultragenyx Pharmaceutical's Other Operating Expenses came in at $121.34 million as of Jun 30, 2026, up 34.5% year-over-year; for FY2025, it came in at $109 million, up 41.6% from FY2024.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 77.8% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $77 million in FY2024 (+71.1%), $45 million in FY2023 (+58.9%), $28.32 million in FY2022 (+76.9%) and $16.01 million in FY2021 (+161.2%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q4 2017.
- On a year-over-year basis, Other Operating Expenses has increased for 18 consecutive quarters, with growth averaging 45.6% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 163.7% in Q2 2022, against a decline of 36.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $30 million (Q1 2026), $29.35 million (Q4 2025) and $27.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.48 Bn | -321.29 Mn | 180.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.00 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 29.35 Mn |
| Sep 30, 2025 | 27.99 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 17.17 Mn |
| Sep 30, 2024 | 21.02 Mn |
| Jun 30, 2024 | 21.28 Mn |
| Mar 31, 2024 | 17.53 Mn |
| Dec 31, 2023 | 11.84 Mn |
| Sep 30, 2023 | 10.99 Mn |
| Jun 30, 2023 | 9.91 Mn |
| Mar 31, 2023 | 12.26 Mn |
| Dec 31, 2022 | 5.32 Mn |
| Sep 30, 2022 | 8.63 Mn |
| Jun 30, 2022 | 8.27 Mn |
| Mar 31, 2022 | 6.10 Mn |
| Dec 31, 2021 | 3.51 Mn |
| Sep 30, 2021 | 4.18 Mn |
Ultragenyx Pharmaceutical Other 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=other-operating-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();