Pacira BioSciences (PCRX) Prepaid Assets (2010 - 2026)
Pacira BioSciences' Prepaid Assets was $29.85 million in Q2 2026, down 19.8% from $37.22 million a year earlier and down 18.8% from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Pacira BioSciences came in at $32.62 million, up 48.7% from FY2024.
- Prepaid Assets has now increased for eight consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $21.93 million in FY2024 (+2.0%), $21.5 million in FY2023 (+41.3%), $15.22 million in FY2022 (+3.1%) and $14.77 million in FY2021 (+20.4%).
- The Q2 2026 figure marks the lowest quarterly Prepaid Assets since Q1 2025.
- Compared with a year earlier, Prepaid Assets was higher in seven of the last eight quarters, with growth averaging 38.8%.
- The best year-over-year quarter for Prepaid Assets over five years was Q2 2025 (growth of 88.3%); the worst was Q2 2026 (a decline of 19.8%).
- Per Business Quant data, PCRX's Prepaid Assets in the three quarters before Q2 2026 was $36.78 million (Q1 2026), $32.62 million (Q4 2025) and $43.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Pacira BioSciences | 997.55 Mn | 59.58 Mn | 148.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.85 Mn |
| Mar 31, 2026 | 36.78 Mn |
| Dec 31, 2025 | 32.62 Mn |
| Sep 30, 2025 | 43.47 Mn |
| Jun 30, 2025 | 37.22 Mn |
| Mar 31, 2025 | 27.84 Mn |
| Dec 31, 2024 | 21.93 Mn |
| Sep 30, 2024 | 23.64 Mn |
| Jun 30, 2024 | 19.77 Mn |
| Mar 31, 2024 | 18.80 Mn |
| Dec 31, 2023 | 21.50 Mn |
| Sep 30, 2023 | 18.59 Mn |
| Jun 30, 2023 | 17.35 Mn |
| Mar 31, 2023 | 15.93 Mn |
| Dec 31, 2022 | 15.22 Mn |
| Sep 30, 2022 | 14.42 Mn |
| Jun 30, 2022 | 18.12 Mn |
| Mar 31, 2022 | 19.06 Mn |
| Dec 31, 2021 | 14.77 Mn |
| Sep 30, 2021 | 11.31 Mn |
API Access
Pacira BioSciences Prepaid Assets 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=prepaid-assets&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();