Pacira BioSciences (PCRX) Revenue (2010 - 2026)
Pacira BioSciences (PCRX) reported Revenue of $192.4 million for Q2 2026, up 6.2% from $181.1 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pacira BioSciences' Revenue came in at $746.16 million, up 5.7% year-over-year; for FY2025, it was $726.41 million, up 3.6% from FY2024.
- Revenue has increased for 15 consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By year, Revenue came in at $700.97 million in FY2024 (+3.9%), $674.98 million in FY2023 (+1.2%), $666.82 million in FY2022 (+23.1%) and $541.53 million in FY2021 (+26.0%).
- Five-year quarterly Revenue spans a low of $127.72 million in Q3 2021 and a high of $196.87 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 11 quarters, with growth averaging 4.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2022 (growth of 32.7%); the low point was Q3 2023 (a decline of 2.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $177.38 million (Q1 2026), $196.87 million (Q4 2025) and $179.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Pacira BioSciences | 997.55 Mn | 59.58 Mn | 148.24 Mn | 192.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.40 Mn |
| Mar 31, 2026 | 177.38 Mn |
| Dec 31, 2025 | 196.87 Mn |
| Sep 30, 2025 | 179.52 Mn |
| Jun 30, 2025 | 181.10 Mn |
| Mar 31, 2025 | 168.92 Mn |
| Dec 31, 2024 | 187.25 Mn |
| Sep 30, 2024 | 168.57 Mn |
| Jun 30, 2024 | 178.02 Mn |
| Mar 31, 2024 | 167.12 Mn |
| Dec 31, 2023 | 181.24 Mn |
| Sep 30, 2023 | 163.93 Mn |
| Jun 30, 2023 | 169.47 Mn |
| Mar 31, 2023 | 160.34 Mn |
| Dec 31, 2022 | 171.96 Mn |
| Sep 30, 2022 | 167.47 Mn |
| Jun 30, 2022 | 169.41 Mn |
| Mar 31, 2022 | 157.99 Mn |
| Dec 31, 2021 | 159.19 Mn |
| Sep 30, 2021 | 127.72 Mn |
API Access
Pacira BioSciences Revenue 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=revenue&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();