Ultragenyx Pharmaceutical (RARE) Long-Term Investments (2015 - 2026)
Ultragenyx Pharmaceutical (RARE) posted Long-Term Investments of $144 million for Q2 2026, up 179.9% from $51.45 million a year earlier and up 19.0% from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Long-Term Investments (2015 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical's Long-Term Investments came in at $57 million, down 57.8% from FY2024.
- Annual Long-Term Investments shows a five-year compound annual growth rate of 40.2% (FY2020 to FY2025).
- In prior years, Ultragenyx Pharmaceutical's Long-Term Investments was $135 million in FY2024 (-32.5%), $199.9 million in FY2023 (+34.2%), $148.97 million in FY2022 (-42.5%) and $258.93 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Long-Term Investments since Q3 2024.
- On a year-over-year basis, Long-Term Investments increased in three of the last eight quarters, with growth averaging 14.3%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q2 2026, with growth of 179.9%; the weakest was Q3 2025, with a decline of 89.1%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $121 million (Q1 2026), $57 million (Q4 2025) and $22.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.86 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 266.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 1.22 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 69.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.62 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 | 1.56 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.50 Bn | -302.56 Mn | 180.00 Mn | 144.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.00 Mn |
| Mar 31, 2026 | 121.00 Mn |
| Dec 31, 2025 | 57.00 Mn |
| Sep 30, 2025 | 22.07 Mn |
| Jun 30, 2025 | 51.45 Mn |
| Mar 31, 2025 | 68.56 Mn |
| Dec 31, 2024 | 135.00 Mn |
| Sep 30, 2024 | 203.09 Mn |
| Jun 30, 2024 | 110.67 Mn |
| Mar 31, 2024 | 156.58 Mn |
| Dec 31, 2023 | 199.90 Mn |
| Sep 30, 2023 | 82.07 Mn |
| Jun 30, 2023 | 66.37 Mn |
| Mar 31, 2023 | 85.21 Mn |
| Dec 31, 2022 | 148.97 Mn |
| Sep 30, 2022 | 107.56 Mn |
| Jun 30, 2022 | 163.30 Mn |
| Mar 31, 2022 | 215.53 Mn |
| Dec 31, 2021 | 258.93 Mn |
| Sep 30, 2021 | 204.24 Mn |
Ultragenyx Pharmaceutical Long-Term Investments 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=long-term-investments&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();