Ultragenyx Pharmaceutical (RARE) Total Non-Current Liabilities (2013 - 2026)
Ultragenyx Pharmaceutical (RARE) reported Total Non-Current Liabilities of $429 million for Q2 2026, up 15.2% from $372.52 million a year earlier and up 6.2% from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical posted Total Non-Current Liabilities of $465 million, up 8.6% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $428 million in FY2024 (+21.0%), $353.69 million in FY2023 (+11.2%), $318.01 million in FY2022 (+28.2%) and $248.05 million in FY2021 (-8.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $203.05 million in Q3 2021 and a high of $465 million in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 18 quarters, with growth averaging 13.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 44.5%); the low point was Q3 2021 (a decline of 25.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $404 million (Q1 2026), $465 million (Q4 2025) and $417.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.48 Bn | -321.29 Mn | 180.00 Mn | 429.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 429.00 Mn |
| Mar 31, 2026 | 404.00 Mn |
| Dec 31, 2025 | 465.00 Mn |
| Sep 30, 2025 | 417.55 Mn |
| Jun 30, 2025 | 372.52 Mn |
| Mar 31, 2025 | 373.88 Mn |
| Dec 31, 2024 | 428.00 Mn |
| Sep 30, 2024 | 361.85 Mn |
| Jun 30, 2024 | 343.86 Mn |
| Mar 31, 2024 | 318.09 Mn |
| Dec 31, 2023 | 353.69 Mn |
| Sep 30, 2023 | 330.43 Mn |
| Jun 30, 2023 | 301.28 Mn |
| Mar 31, 2023 | 276.44 Mn |
| Dec 31, 2022 | 318.01 Mn |
| Sep 30, 2022 | 287.58 Mn |
| Jun 30, 2022 | 283.61 Mn |
| Mar 31, 2022 | 231.97 Mn |
| Dec 31, 2021 | 248.05 Mn |
| Sep 30, 2021 | 203.05 Mn |
Ultragenyx Pharmaceutical Total Non-Current 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-non-current-liabilities&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();