Ultragenyx Pharmaceutical (RARE) Accumulated Expenses (2013 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Accumulated Expenses of $221 million for Q2 2026, up 22.2% from $180.79 million a year earlier and up 13.9% from the prior quarter.
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Analysis
Ultragenyx Pharmaceutical (RARE) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical posted Accumulated Expenses of $265 million, up 10.0% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $241 million in FY2024 (+22.7%), $196.49 million in FY2023 (-4.0%), $204.68 million in FY2022 (+40.6%) and $145.56 million in FY2021 (+34.2%).
- Five-year quarterly Accumulated Expenses spans a low of $109.66 million in Q3 2021 and a high of $265 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 15.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2022 (growth of 87.1%); the low point was Q2 2024 (a decline of 7.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $194 million (Q1 2026), $265 million (Q4 2025) and $220.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.50 Bn | -302.56 Mn | 180.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 221.00 Mn |
| Mar 31, 2026 | 194.00 Mn |
| Dec 31, 2025 | 265.00 Mn |
| Sep 30, 2025 | 220.53 Mn |
| Jun 30, 2025 | 180.79 Mn |
| Mar 31, 2025 | 173.01 Mn |
| Dec 31, 2024 | 241.00 Mn |
| Sep 30, 2024 | 185.03 Mn |
| Jun 30, 2024 | 154.42 Mn |
| Mar 31, 2024 | 149.13 Mn |
| Dec 31, 2023 | 196.49 Mn |
| Sep 30, 2023 | 178.62 Mn |
| Jun 30, 2023 | 167.66 Mn |
| Mar 31, 2023 | 144.40 Mn |
| Dec 31, 2022 | 204.68 Mn |
| Sep 30, 2022 | 189.05 Mn |
| Jun 30, 2022 | 170.36 Mn |
| Mar 31, 2022 | 126.36 Mn |
| Dec 31, 2021 | 145.56 Mn |
| Sep 30, 2021 | 109.66 Mn |
API Access
Ultragenyx Pharmaceutical Accumulated 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=accumulated-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();