Neurocrine Biosciences (NBIX) Inventory (2017 - 2026)
Neurocrine Biosciences' Inventory was $104.2 million in Q2 2026, up 83.1% from $56.9 million a year earlier and up 61.6% from the prior quarter.
Powered by 
Analysis
Neurocrine Biosciences (NBIX) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Neurocrine Biosciences came in at $69 million, up 20.2% from FY2024.
- Inventory has now increased for eight consecutive years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- In earlier years, Inventory was $57.4 million in FY2024 (+49.9%), $38.3 million in FY2023 (+9.1%), $35.1 million in FY2022 (+15.1%) and $30.5 million in FY2021 (+8.9%).
- The Q2 2026 figure marks the highest quarterly Inventory in data going back to Q2 2017.
- Compared with a year earlier, Inventory has increased for 11 straight quarters, with growth averaging 45.7% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q2 2026 (growth of 83.1%); the worst was Q3 2023 (a decline of 22.2%).
- Per Business Quant data, NBIX's Inventory in the three quarters before Q2 2026 was $64.5 million (Q1 2026), $69 million (Q4 2025) and $69.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Neurocrine Biosciences | 14.06 Bn | 9.76 Bn | 935.80 Mn | 104.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.20 Mn |
| Mar 31, 2026 | 64.50 Mn |
| Dec 31, 2025 | 69.00 Mn |
| Sep 30, 2025 | 69.30 Mn |
| Jun 30, 2025 | 56.90 Mn |
| Mar 31, 2025 | 59.10 Mn |
| Dec 31, 2024 | 57.40 Mn |
| Sep 30, 2024 | 45.80 Mn |
| Jun 30, 2024 | 42.50 Mn |
| Mar 31, 2024 | 37.20 Mn |
| Dec 31, 2023 | 38.30 Mn |
| Sep 30, 2023 | 28.80 Mn |
| Jun 30, 2023 | 31.70 Mn |
| Mar 31, 2023 | 33.40 Mn |
| Dec 31, 2022 | 35.10 Mn |
| Sep 30, 2022 | 37.00 Mn |
| Jun 30, 2022 | 29.30 Mn |
| Mar 31, 2022 | 29.00 Mn |
| Dec 31, 2021 | 30.50 Mn |
| Sep 30, 2021 | 25.50 Mn |
API Access
Neurocrine Biosciences 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=inventory&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "NBIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();