Ultragenyx Pharmaceutical (RARE) Receivables (2013 - 2026)
Ultragenyx Pharmaceutical's Receivables came in at $201 million for Q2 2026, up 60.3% from $125.36 million a year earlier and up 64.8% from the prior quarter.
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Analysis
Ultragenyx Pharmaceutical (RARE) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Ultragenyx Pharmaceutical's Receivables was $159 million, up 28.2% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 37.2% (FY2020 to FY2025).
- Going back by year, Receivables was $124 million in FY2024 (+66.5%), $74.49 million in FY2023 (+59.0%), $46.85 million in FY2022 (+5.4%) and $44.43 million in FY2021 (+35.9%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2013.
- Year-over-year, Receivables has increased for 14 consecutive quarters, with growth averaging 33.4% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q3 2023 (growth of 131.8%), and the weakest in Q3 2021 (a decline of 28.5%).
- Business Quant data shows RARE's Receivables at $122 million (Q1 2026), $99 million (Q4 2025) and $114.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.99 Bn | 1,104.58 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 616.90 Bn | 535.42 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 501.56 Bn | 474.68 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.13 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 236.48 Bn | 191.88 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 190.56 Bn | 164.76 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 169.46 Bn | 116.11 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Ultragenyx Pharmaceutical | 1.62 Bn | -185.96 Mn | 180.00 Mn | 201.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.00 Mn |
| Mar 31, 2026 | 122.00 Mn |
| Dec 31, 2025 | 99.00 Mn |
| Sep 30, 2025 | 114.64 Mn |
| Jun 30, 2025 | 125.36 Mn |
| Mar 31, 2025 | 101.24 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 95.10 Mn |
| Jun 30, 2024 | 108.38 Mn |
| Mar 31, 2024 | 100.45 Mn |
| Dec 31, 2023 | 40.30 Mn |
| Sep 30, 2023 | 79.66 Mn |
| Jun 30, 2023 | 72.82 Mn |
| Mar 31, 2023 | 55.69 Mn |
| Dec 31, 2022 | 33.90 Mn |
| Sep 30, 2022 | 34.36 Mn |
| Jun 30, 2022 | 40.11 Mn |
| Mar 31, 2022 | 32.17 Mn |
| Dec 31, 2021 | 36.20 Mn |
| Sep 30, 2021 | 29.08 Mn |
API Access
Ultragenyx Pharmaceutical Receivables 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&ticker=RARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();