Neurocrine Biosciences (NBIX) Receivables (2009 - 2026)
Neurocrine Biosciences (NBIX) posted Receivables of $957.3 million for Q3 2026, up 31.5% from $728 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences' Receivables came in at $686.8 million, up 43.4% from FY2024.
- Annual Receivables has increased for eight consecutive years, with a five-year compound annual growth rate of 34.3% (FY2020 to FY2025).
- In prior years, Neurocrine Biosciences' Receivables was $479.1 million in FY2024 (+9.1%), $439.3 million in FY2023 (+25.5%), $350 million in FY2022 (+88.7%) and $185.5 million in FY2021 (+18.1%).
- The Q3 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2010.
- On a year-over-year basis, Receivables has increased in each of the last 22 quarters, with growth averaging 34.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 9.1% (Q4 2024) to 88.7% (Q4 2022).
- According to Business Quant data, Receivables for the three prior quarters was $887 million (Q2 2026), $768.1 million (Q1 2026) and $686.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Neurocrine Biosciences | 17.13 Bn | 13.21 Bn | 1.10 Bn | 957.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 957.30 Mn |
| Jun 30, 2026 | 887.00 Mn |
| Mar 31, 2026 | 768.10 Mn |
| Dec 31, 2025 | 686.80 Mn |
| Sep 30, 2025 | 728.00 Mn |
| Jun 30, 2025 | 595.70 Mn |
| Mar 31, 2025 | 516.00 Mn |
| Dec 31, 2024 | 479.10 Mn |
| Sep 30, 2024 | 481.10 Mn |
| Jun 30, 2024 | 468.20 Mn |
| Mar 31, 2024 | 450.70 Mn |
| Dec 31, 2023 | 439.30 Mn |
| Sep 30, 2023 | 417.80 Mn |
| Jun 30, 2023 | 387.60 Mn |
| Mar 31, 2023 | 391.60 Mn |
| Dec 31, 2022 | 350.00 Mn |
| Sep 30, 2022 | 301.20 Mn |
| Jun 30, 2022 | 279.00 Mn |
| Mar 31, 2022 | 263.50 Mn |
| Dec 31, 2021 | 185.50 Mn |
API Access
Neurocrine Biosciences 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=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();