Pacira BioSciences (PCRX) Total Current Liabilities (2010 - 2026)
Pacira BioSciences' Total Current Liabilities was $122.01 million in Q2 2026, down 61.0% from $313.16 million a year earlier but up 12.2% from the prior quarter.
Pacira BioSciences (PCRX) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Pacira BioSciences came in at $120.59 million, down 61.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -13.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $309.92 million in FY2024 (+218.2%), $97.38 million in FY2023 (-34.1%), $147.77 million in FY2022 (-71.6%) and $521.12 million in FY2021 (+105.7%).
- Quarterly Total Current Liabilities has moved between $92.69 million (Q2 2024) and $521.12 million (Q4 2021) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for four straight quarters, with growth averaging 83.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2025 (growth of 237.9%); the worst was Q4 2022 (a decline of 71.6%).
- Per Business Quant data, PCRX's Total Current Liabilities in the three quarters before Q2 2026 was $108.79 million (Q1 2026), $120.59 million (Q4 2025) and $107.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 122.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.01 Mn |
| Mar 31, 2026 | 108.79 Mn |
| Dec 31, 2025 | 120.59 Mn |
| Sep 30, 2025 | 107.08 Mn |
| Jun 30, 2025 | 313.16 Mn |
| Mar 31, 2025 | 314.73 Mn |
| Dec 31, 2024 | 309.92 Mn |
| Sep 30, 2024 | 306.40 Mn |
| Jun 30, 2024 | 92.69 Mn |
| Mar 31, 2024 | 93.44 Mn |
| Dec 31, 2023 | 97.38 Mn |
| Sep 30, 2023 | 93.66 Mn |
| Jun 30, 2023 | 108.91 Mn |
| Mar 31, 2023 | 98.70 Mn |
| Dec 31, 2022 | 147.77 Mn |
| Sep 30, 2022 | 131.53 Mn |
| Jun 30, 2022 | 133.18 Mn |
| Mar 31, 2022 | 305.07 Mn |
| Dec 31, 2021 | 521.12 Mn |
| Sep 30, 2021 | 225.79 Mn |
Pacira BioSciences Total Current 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-current-liabilities&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();