Pacira BioSciences (PCRX) Return on Sales [ROS] (2010 - 2026)
Pacira BioSciences (PCRX) recorded Return on Sales [ROS] of 2.22% in Q2 2026, down 2.48 percentage points from 4.69% a year earlier and down 1.67 percentage points from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Pacira BioSciences' Return on Sales [ROS] came in at 2.66% as of Jun 30, 2026, up 17.44 percentage points year-over-year; for FY2025, it came in at 2.64%, up 13.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -8.15 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -10.47% in FY2024 (-23.46 pp), 12.99% in FY2023 (+3.99 pp), 9.00% in FY2022 (-7.60 pp) and 16.61% in FY2021 (+5.82 pp).
- Quarterly Return on Sales [ROS] has ranged from -82.77% in Q3 2024 to 24.61% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -5.25 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 86.31 percentage points in Q3 2025, against a drop of 93.58 percentage points in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.89% (Q1 2026), 1.19% (Q4 2025) and 3.54% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Pacira BioSciences | 1.00 Bn | 65.95 Mn | 148.24 Mn | 2.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22% |
| Mar 31, 2026 | 3.89% |
| Dec 31, 2025 | 1.19% |
| Sep 30, 2025 | 3.54% |
| Jun 30, 2025 | 4.69% |
| Mar 31, 2025 | 1.18% |
| Dec 31, 2024 | 13.19% |
| Sep 30, 2024 | -82.77% |
| Jun 30, 2024 | 15.86% |
| Mar 31, 2024 | 7.91% |
| Dec 31, 2023 | 18.30% |
| Sep 30, 2023 | 10.81% |
| Jun 30, 2023 | 23.53% |
| Mar 31, 2023 | -1.93% |
| Dec 31, 2022 | -5.75% |
| Sep 30, 2022 | 12.71% |
| Jun 30, 2022 | 18.44% |
| Mar 31, 2022 | 11.01% |
| Dec 31, 2021 | 2.65% |
| Sep 30, 2021 | 24.61% |
API Access
Pacira BioSciences Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();