Ultragenyx Pharmaceutical (RARE) Receivables - Net (2013 - 2026)
Ultragenyx Pharmaceutical (RARE) posted Receivables - Net of $200 million for Q2 2026, up 60.7% from $124.46 million a year earlier and up 65.3% from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Receivables - Net (2013 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical's Receivables - Net came in at $158 million, up 29.5% from FY2024.
- Annual Receivables - Net has increased for five consecutive years, with a five-year compound annual growth rate of 46.9% (FY2020 to FY2025).
- In prior years, Ultragenyx Pharmaceutical's Receivables - Net was $122 million in FY2024 (+66.2%), $73.39 million in FY2023 (+81.5%), $40.45 million in FY2022 (+42.3%) and $28.43 million in FY2021 (+23.1%).
- The Q2 2026 figure stands as the highest quarterly Receivables - Net in data going back to Q4 2013.
- On a year-over-year basis, Receivables - Net has increased in each of the last five quarters, with growth averaging 33.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q3 2023, with growth of 154.3%; the weakest was Q3 2021, with a decline of 8.6%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $121 million (Q1 2026), $98 million (Q4 2025) and $112.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.51 Bn | -292.70 Mn | 180.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.00 Mn |
| Mar 31, 2026 | 121.00 Mn |
| Dec 31, 2025 | 98.00 Mn |
| Sep 30, 2025 | 112.54 Mn |
| Jun 30, 2025 | 124.46 Mn |
| Mar 31, 2025 | 98.84 Mn |
| Dec 31, 2024 | 85.00 Mn |
| Sep 30, 2024 | 93.30 Mn |
| Jun 30, 2024 | 105.98 Mn |
| Mar 31, 2024 | 100.25 Mn |
| Dec 31, 2023 | 39.20 Mn |
| Sep 30, 2023 | 79.26 Mn |
| Jun 30, 2023 | 70.52 Mn |
| Mar 31, 2023 | 42.99 Mn |
| Dec 31, 2022 | 27.50 Mn |
| Sep 30, 2022 | 31.16 Mn |
| Jun 30, 2022 | 37.21 Mn |
| Mar 31, 2022 | 28.37 Mn |
| Dec 31, 2021 | 20.20 Mn |
| Sep 30, 2021 | 25.38 Mn |
Ultragenyx Pharmaceutical Receivables - Net 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=receivables-net&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();