Pacira BioSciences (PCRX) Change in Receivables (2010 - 2026)
Pacira BioSciences (PCRX) reported Change in Receivables of $10.51 million for Q2 2026, up 9.4% from $9.61 million a year earlier and up 570.5% from the prior quarter.
Pacira BioSciences (PCRX) Change in Receivables (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pacira BioSciences' Change in Receivables came in at $21.77 million, up 127.5% year-over-year; for FY2025, it was $10.74 million, up 38.6% from FY2024.
- Change in Receivables has increased for three consecutive years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- By year, Change in Receivables came in at $7.75 million in FY2024 (+8.2%), $7.16 million in FY2023 (+244.3%), $2.08 million in FY2022 (-80.1%) and $10.43 million in FY2021 (+89.2%).
- The Q2 2026 figure ranks as the highest quarterly Change in Receivables since Q4 2024.
- Year over year, Change in Receivables gained in three of the last four quarters, with growth averaging 58.0%.
- The high point for year-over-year Change in Receivables in five years was Q2 2025 (growth of 205.8%); the low point was Q4 2022 (a decline of 63.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.57 million (Q1 2026), $8.8 million (Q4 2025) and $897,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 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 | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | Pacira BioSciences | 997.55 Mn | 59.58 Mn | 148.24 Mn | 10.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.51 Mn |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 8.80 Mn |
| Sep 30, 2025 | 897,000.00 |
| Jun 30, 2025 | 9.61 Mn |
| Mar 31, 2025 | -8.56 Mn |
| Dec 31, 2024 | 12.65 Mn |
| Sep 30, 2024 | -4.13 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | -3.92 Mn |
| Dec 31, 2023 | 8.60 Mn |
| Sep 30, 2023 | -2.12 Mn |
| Jun 30, 2023 | 5.88 Mn |
| Mar 31, 2023 | -5.19 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | -998,000.00 |
| Mar 31, 2022 | -4.22 Mn |
| Dec 31, 2021 | 13.50 Mn |
| Sep 30, 2021 | -18.38 Mn |
Pacira BioSciences Change in 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=change-in-receivables&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();