Pacira BioSciences (PCRX) Receivables (2010 - 2026)
Pacira BioSciences (PCRX) reported Receivables of $132.42 million for Q2 2026, up 15.8% from $114.37 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Pacira BioSciences posted Receivables of $124.07 million, up 9.5% from FY2024.
- Receivables has increased for 15 consecutive years, with a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- By year, Receivables came in at $113.3 million in FY2024 (+7.3%), $105.56 million in FY2023 (+7.3%), $98.4 million in FY2022 (+2.2%) and $96.32 million in FY2021 (+81.6%).
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q4 2010.
- Year over year, Receivables has now increased in each of the last 25 quarters, with growth averaging 10.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 1.2% in Q1 2023 to 87.0% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $125.64 million (Q1 2026), $124.07 million (Q4 2025) and $115.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Pacira BioSciences | 1.01 Bn | 73.12 Mn | 148.24 Mn | 132.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.42 Mn |
| Mar 31, 2026 | 125.64 Mn |
| Dec 31, 2025 | 124.07 Mn |
| Sep 30, 2025 | 115.27 Mn |
| Jun 30, 2025 | 114.37 Mn |
| Mar 31, 2025 | 104.75 Mn |
| Dec 31, 2024 | 113.30 Mn |
| Sep 30, 2024 | 100.65 Mn |
| Jun 30, 2024 | 104.78 Mn |
| Mar 31, 2024 | 101.64 Mn |
| Dec 31, 2023 | 105.56 Mn |
| Sep 30, 2023 | 96.96 Mn |
| Jun 30, 2023 | 99.08 Mn |
| Mar 31, 2023 | 93.21 Mn |
| Dec 31, 2022 | 98.40 Mn |
| Sep 30, 2022 | 93.47 Mn |
| Jun 30, 2022 | 91.11 Mn |
| Mar 31, 2022 | 92.10 Mn |
| Dec 31, 2021 | 96.32 Mn |
| Sep 30, 2021 | 49.98 Mn |
API Access
Pacira BioSciences Receivables 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=receivables&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();