Ultragenyx Pharmaceutical (RARE) Change in Inventory (2018 - 2026)
Ultragenyx Pharmaceutical (RARE) recorded Change in Inventory of $3 million in Q2 2026, down 25.0% from the prior quarter.
Ultragenyx Pharmaceutical (RARE) Change in Inventory (2018 - 2026) Analysis & Trends
On a TTM basis, Ultragenyx Pharmaceutical's Change in Inventory came in at $12 million as of Jun 30, 2026, up 108.7% year-over-year; for FY2025, it came in at $6 million, down 45.5% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $11 million in FY2024 (+57.1%), $7 million in FY2023 (-27.8%), $9.7 million in FY2022 (+211.2%) and $3.12 million in FY2021 (+131.6%).
- Quarterly Change in Inventory has ranged from -$150,000 in Q1 2023 to $5.15 million in Q3 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last five quarters, with growth averaging 67.2%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 338.3% in Q3 2023, against a decline of 52.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4 million (Q1 2026), -$150,000 (Q4 2025) and $5.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Ultragenyx Pharmaceutical | 1.48 Bn | -321.29 Mn | 180.00 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | -150,000.00 |
| Sep 30, 2025 | 5.15 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 2.25 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 4.13 Mn |
| Mar 31, 2024 | 2.12 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | 3.47 Mn |
| Jun 30, 2023 | 1.66 Mn |
| Mar 31, 2023 | -150,000.00 |
| Dec 31, 2022 | 4.21 Mn |
| Sep 30, 2022 | 791,000.00 |
| Jun 30, 2022 | 3.23 Mn |
| Mar 31, 2022 | 1.48 Mn |
| Dec 31, 2021 | 990,000.00 |
| Sep 30, 2021 | -47,000.00 |
| Jun 30, 2021 | 2.65 Mn |
Ultragenyx Pharmaceutical Change in Inventory 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=change-in-inventory&ticker=RARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=RARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();