Pacira BioSciences (PCRX) Gross Margin (2010 - 2026)
Pacira BioSciences (PCRX) posted Gross Margin of 77.05% for Q2 2026, down 0.39 percentage points from 77.43% a year earlier and down 2.43 percentage points from the prior quarter.
Pacira BioSciences (PCRX) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Pacira BioSciences was 79.21%, up 1.01 percentage points year-over-year; for FY2025, it was 79.39%, up 3.70 percentage points from FY2024.
- Annual Gross Margin has increased for three consecutive years, with a five-year change of +6.69 percentage points (FY2020 to FY2025).
- In prior years, Pacira BioSciences' Gross Margin was 75.69% in FY2024 (+3.05 pp), 72.64% in FY2023 (+2.53 pp), 70.11% in FY2022 (-3.99 pp) and 74.10% in FY2021 (+1.41 pp).
- The Q2 2026 figure stands as the lowest quarterly Gross Margin since Q3 2024.
- On a year-over-year basis, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +2.59 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q4 2023, with a gain of 9.69 percentage points; the weakest was Q4 2022, with a drop of 11.50 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 79.47% (Q1 2026), 79.53% (Q4 2025) and 80.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 78.02% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 83.60% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 72.04% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 79.76% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 72.78% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 85.33% |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 77.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.05% |
| Mar 31, 2026 | 79.47% |
| Dec 31, 2025 | 79.53% |
| Sep 30, 2025 | 80.91% |
| Jun 30, 2025 | 77.43% |
| Mar 31, 2025 | 79.69% |
| Dec 31, 2024 | 78.70% |
| Sep 30, 2024 | 76.95% |
| Jun 30, 2024 | 75.14% |
| Mar 31, 2024 | 71.63% |
| Dec 31, 2023 | 73.69% |
| Sep 30, 2023 | 75.75% |
| Jun 30, 2023 | 71.55% |
| Mar 31, 2023 | 69.43% |
| Dec 31, 2022 | 63.99% |
| Sep 30, 2022 | 69.74% |
| Jun 30, 2022 | 70.12% |
| Mar 31, 2022 | 77.17% |
| Dec 31, 2021 | 75.50% |
| Sep 30, 2021 | 72.87% |
Pacira BioSciences Gross Margin 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=gross-margin&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();