Ultragenyx Pharmaceutical (RARE) Total Liabilities (2013 - 2026)
Ultragenyx Pharmaceutical's Total Liabilities came in at $1.56 billion for Q2 2026, up 34.6% from $1.16 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Ultragenyx Pharmaceutical (RARE) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical's Total Liabilities was $1.61 billion, up 29.2% from FY2024.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.25 billion in FY2024 (+2.6%), $1.22 billion in FY2023 (+1.9%), $1.19 billion in FY2022 (+99.0%) and $599.84 million in FY2021 (-0.9%).
- The five-year range for quarterly Total Liabilities is $551.13 million (Q3 2021) to $1.61 billion (Q4 2025).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2022 (growth of 108.6%), and the weakest in Q3 2021 (a decline of 8.5%).
- Business Quant data shows RARE's Total Liabilities at $1.53 billion (Q1 2026), $1.61 billion (Q4 2025) and $1.18 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.51 Bn | -292.70 Mn | 180.00 Mn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 1.61 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.18 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 1.19 Bn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 642.55 Mn |
| Mar 31, 2022 | 587.61 Mn |
| Dec 31, 2021 | 599.84 Mn |
| Sep 30, 2021 | 551.13 Mn |
API Access
Ultragenyx Pharmaceutical Total Liabilities 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=total-liabilities&ticker=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();