Pacira BioSciences (PCRX) EBITDA (2010 - 2026)
Pacira BioSciences' EBITDA came in at $25.56 million for Q2 2026, down 28.6% from $35.82 million a year earlier and down 9.5% from the prior quarter.
Pacira BioSciences (PCRX) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pacira BioSciences reported EBITDA of $105.03 million; for FY2025, it came in at $110.21 million.
- EBITDA carries a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, EBITDA was $5.41 million in FY2024 (-96.7%), $163.25 million in FY2023 (+7.7%), $151.53 million in FY2022 (+27.9%) and $118.47 million in FY2021 (+78.8%).
- The five-year range for quarterly EBITDA is -$119.27 million (Q3 2024) to $58.93 million (Q2 2023).
- Year-over-year, EBITDA increased in 1 of the last six quarters, with an average decline of 19.5%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2023 (growth of 151.8%), and the weakest in Q1 2023 (a decline of 55.9%).
- Business Quant data shows PCRX's EBITDA at $28.23 million (Q1 2026), $23.68 million (Q4 2025) and $27.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 25.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.56 Mn |
| Mar 31, 2026 | 28.23 Mn |
| Dec 31, 2025 | 23.68 Mn |
| Sep 30, 2025 | 27.55 Mn |
| Jun 30, 2025 | 35.82 Mn |
| Mar 31, 2025 | 23.16 Mn |
| Dec 31, 2024 | 45.95 Mn |
| Sep 30, 2024 | -119.27 Mn |
| Jun 30, 2024 | 47.10 Mn |
| Mar 31, 2024 | 31.64 Mn |
| Dec 31, 2023 | 51.65 Mn |
| Sep 30, 2023 | 36.15 Mn |
| Jun 30, 2023 | 58.93 Mn |
| Mar 31, 2023 | 16.51 Mn |
| Dec 31, 2022 | 20.51 Mn |
| Sep 30, 2022 | 41.49 Mn |
| Jun 30, 2022 | 52.10 Mn |
| Mar 31, 2022 | 37.43 Mn |
| Dec 31, 2021 | 17.28 Mn |
| Sep 30, 2021 | 37.16 Mn |
Pacira BioSciences EBITDA 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=ebitda&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();