Neurocrine Biosciences (NBIX) Payables (2010 - 2026)
Neurocrine Biosciences (NBIX) reported Payables of $808.3 million for Q2 2026, up 65.1% from $489.5 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Neurocrine Biosciences (NBIX) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Neurocrine Biosciences posted Payables of $674.3 million, up 46.1% from FY2024.
- Payables has increased for 12 consecutive years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- By year, Payables came in at $461.6 million in FY2024 (+2.9%), $448.8 million in FY2023 (+29.1%), $347.6 million in FY2022 (+53.9%) and $225.8 million in FY2021 (+33.8%).
- The Q2 2026 figure ranks as the highest quarterly Payables in data going back to Q4 2010.
- Year over year, Payables has now increased in each of the last seven quarters, with growth averaging 31.8% over the last eight quarters.
- The high point for year-over-year Payables in five years was Q3 2023 (growth of 68.9%); the low point was Q3 2024 (a decline of 21.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $773 million (Q1 2026), $674.3 million (Q4 2025) and $584.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Neurocrine Biosciences | 14.41 Bn | 10.11 Bn | 935.80 Mn | 808.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 808.30 Mn |
| Mar 31, 2026 | 773.00 Mn |
| Dec 31, 2025 | 674.30 Mn |
| Sep 30, 2025 | 584.30 Mn |
| Jun 30, 2025 | 489.50 Mn |
| Mar 31, 2025 | 475.20 Mn |
| Dec 31, 2024 | 461.60 Mn |
| Sep 30, 2024 | 392.70 Mn |
| Jun 30, 2024 | 358.50 Mn |
| Mar 31, 2024 | 417.20 Mn |
| Dec 31, 2023 | 448.80 Mn |
| Sep 30, 2023 | 503.00 Mn |
| Jun 30, 2023 | 391.60 Mn |
| Mar 31, 2023 | 355.70 Mn |
| Dec 31, 2022 | 347.60 Mn |
| Sep 30, 2022 | 297.80 Mn |
| Jun 30, 2022 | 265.70 Mn |
| Mar 31, 2022 | 235.90 Mn |
| Dec 31, 2021 | 225.80 Mn |
| Sep 30, 2021 | 205.90 Mn |
API Access
Neurocrine Biosciences Payables 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=payables&ticker=NBIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=NBIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();