Pacira BioSciences (PCRX) Return on Capital Employed [ROCE] (2011 - 2026)
Pacira BioSciences' Return on Capital Employed [ROCE] was 1.80% in Q2 2026, up 10.15 percentage points from -8.35% a year earlier but down 0.34 percentage points from the prior quarter.
Pacira BioSciences (PCRX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Pacira BioSciences came in at 1.49%, up 7.34 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -4.31 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -5.85% in FY2024 (-11.58 pp), 5.73% in FY2023 (+2.26 pp), 3.47% in FY2022 (-4.33 pp) and 7.79% in FY2021 (+2.00 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -8.35% (Q2 2025) and 9.37% (Q3 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of -1.68 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 10.15 percentage points); the worst was Q2 2025 (a drop of 14.42 percentage points).
- Per Business Quant data, PCRX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 2.14% (Q1 2026), 1.65% (Q4 2025) and 3.17% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Pacira BioSciences | 1.00 Bn | 65.95 Mn | 148.24 Mn | 1.80% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80% |
| Mar 31, 2026 | 2.14% |
| Dec 31, 2025 | 1.65% |
| Sep 30, 2025 | 3.17% |
| Jun 30, 2025 | -8.35% |
| Mar 31, 2025 | -6.74% |
| Dec 31, 2024 | -5.98% |
| Sep 30, 2024 | -5.08% |
| Jun 30, 2024 | 6.07% |
| Mar 31, 2024 | 7.00% |
| Dec 31, 2023 | 6.02% |
| Sep 30, 2023 | 3.09% |
| Jun 30, 2023 | 3.38% |
| Mar 31, 2023 | 2.63% |
| Dec 31, 2022 | 3.85% |
| Sep 30, 2022 | 4.63% |
| Jun 30, 2022 | 5.02% |
| Mar 31, 2022 | 5.24% |
| Dec 31, 2021 | 7.53% |
| Sep 30, 2021 | 9.37% |
Pacira BioSciences Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();