Pacira BioSciences (PCRX) Non-Current Debt (2010 - 2026)
Pacira BioSciences (PCRX) recorded Non-Current Debt of $363.12 million in Q2 2026, up 271.2% from $97.83 million a year earlier but down 1.2% from the prior quarter.
Pacira BioSciences (PCRX) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Pacira BioSciences reported Non-Current Debt of $372.19 million, down 3.0% from FY2024.
- Annual Non-Current Debt has a four-year compound annual growth rate of 2.6% (FY2021 to FY2025).
- Across earlier years, Non-Current Debt came in at $383.55 million in FY2024 (+232.9%), $115.2 million in FY2023 (-54.1%), $251.06 million in FY2022 (-25.1%) and $335.26 million in FY2021.
- Quarterly Non-Current Debt has ranged from $97.83 million in Q2 2025 to $383.55 million in Q4 2024 over the past five years.
- On a year-over-year basis, Non-Current Debt rose in four of the last eight quarters, with growth averaging 123.2%.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 271.2% in Q2 2026, against a decline of 61.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $367.66 million (Q1 2026), $372.19 million (Q4 2025) and $376.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 363.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 363.12 Mn |
| Mar 31, 2026 | 367.66 Mn |
| Dec 31, 2025 | 372.19 Mn |
| Sep 30, 2025 | 376.72 Mn |
| Jun 30, 2025 | 97.83 Mn |
| Mar 31, 2025 | 101.49 Mn |
| Dec 31, 2024 | 383.55 Mn |
| Sep 30, 2024 | 107.02 Mn |
| Jun 30, 2024 | 109.75 Mn |
| Mar 31, 2024 | 112.48 Mn |
| Dec 31, 2023 | 115.20 Mn |
| Sep 30, 2023 | 117.97 Mn |
| Jun 30, 2023 | 134.82 Mn |
| Mar 31, 2023 | 137.53 Mn |
| Dec 31, 2022 | 251.06 Mn |
| Sep 30, 2022 | 309.85 Mn |
| Jun 30, 2022 | 318.34 Mn |
| Mar 31, 2022 | 326.83 Mn |
| Dec 31, 2021 | 335.26 Mn |
| Jun 30, 2013 | 96.89 Mn |
Pacira BioSciences Non-Current Debt 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=non-current-debt&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "PCRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();