Pacira BioSciences (PCRX) Total Liabilities (2010 - 2026)
Pacira BioSciences' Total Liabilities came in at $572 million for Q2 2026, down 26.6% from $779.5 million a year earlier but up 3.1% from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Pacira BioSciences' Total Liabilities was $571.81 million, down 26.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $775.17 million in FY2024 (+10.1%), $704.26 million in FY2023 (-22.3%), $906.19 million in FY2022 (-32.6%) and $1.34 billion in FY2021 (+105.4%).
- The five-year range for quarterly Total Liabilities is $554.64 million (Q1 2026) to $1.34 billion (Q4 2021).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 105.4%), and the weakest in Q1 2023 (a decline of 36.1%).
- Business Quant data shows PCRX's Total Liabilities at $554.64 million (Q1 2026), $571.81 million (Q4 2025) and $570.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 572.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 572.00 Mn |
| Mar 31, 2026 | 554.64 Mn |
| Dec 31, 2025 | 571.81 Mn |
| Sep 30, 2025 | 570.36 Mn |
| Jun 30, 2025 | 779.50 Mn |
| Mar 31, 2025 | 788.13 Mn |
| Dec 31, 2024 | 775.17 Mn |
| Sep 30, 2024 | 772.11 Mn |
| Jun 30, 2024 | 767.54 Mn |
| Mar 31, 2024 | 691.16 Mn |
| Dec 31, 2023 | 704.26 Mn |
| Sep 30, 2023 | 702.91 Mn |
| Jun 30, 2023 | 734.41 Mn |
| Mar 31, 2023 | 755.38 Mn |
| Dec 31, 2022 | 906.19 Mn |
| Sep 30, 2022 | 964.24 Mn |
| Jun 30, 2022 | 977.35 Mn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.34 Bn |
| Sep 30, 2021 | 637.40 Mn |
API Access
Pacira BioSciences Total Liabilities 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=total-liabilities&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();