Pacira BioSciences (PCRX) Cash & Equivalents (2009 - 2026)
Pacira BioSciences (PCRX) recorded Cash & Equivalents of $205.88 million in Q2 2026, down 31.5% from $300.48 million a year earlier but up 42.7% from the prior quarter.
Pacira BioSciences (PCRX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Pacira BioSciences reported Cash & Equivalents of $158.55 million, down 42.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $276.77 million in FY2024 (+80.5%), $153.3 million in FY2023 (+47.2%), $104.14 million in FY2022 (-82.2%) and $585.58 million in FY2021 (+485.8%).
- Quarterly Cash & Equivalents has ranged from $35.55 million in Q1 2023 to $585.58 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 17.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 485.8% in Q4 2021, against a decline of 84.3% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $144.31 million (Q1 2026), $158.55 million (Q4 2025) and $147.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Pacira BioSciences | 1.46 Bn | 468.61 Mn | 139.42 Mn | 246.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 246.96 Mn |
| Jun 30, 2026 | 205.88 Mn |
| Mar 31, 2026 | 144.31 Mn |
| Dec 31, 2025 | 158.55 Mn |
| Sep 30, 2025 | 147.59 Mn |
| Jun 30, 2025 | 300.48 Mn |
| Mar 31, 2025 | 283.61 Mn |
| Dec 31, 2024 | 276.77 Mn |
| Sep 30, 2024 | 245.97 Mn |
| Jun 30, 2024 | 247.05 Mn |
| Mar 31, 2024 | 184.05 Mn |
| Dec 31, 2023 | 153.30 Mn |
| Sep 30, 2023 | 99.12 Mn |
| Jun 30, 2023 | 86.81 Mn |
| Mar 31, 2023 | 35.55 Mn |
| Dec 31, 2022 | 104.14 Mn |
| Sep 30, 2022 | 109.42 Mn |
| Jun 30, 2022 | 122.06 Mn |
| Mar 31, 2022 | 226.75 Mn |
| Dec 31, 2021 | 585.58 Mn |
Pacira BioSciences Cash & Equivalents 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=cash-and-equivalents&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();