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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -188.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | -312.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 108.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -52.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Pacira BioSciences | 1.46 Bn | 468.61 Mn | 139.42 Mn | -9.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -9.75 Mn |
| 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 |
API Access
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_KEYimport 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();