Pacira BioSciences (PCRX) Non Operating Interest Expenses (2010 - 2026)
Pacira BioSciences' Non Operating Interest Expenses came in at $3.62 million for Q2 2026, down 22.9% from $4.7 million a year earlier and down 2.1% from the prior quarter.
Pacira BioSciences (PCRX) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pacira BioSciences reported Non Operating Interest Expenses of $15.49 million, down 16.9% year-over-year; for FY2025, it was $17.45 million, up 5.3% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $16.57 million in FY2024 (-18.4%), $20.31 million in FY2023 (-49.2%), $39.98 million in FY2022 (+25.9%) and $31.75 million in FY2021 (+23.7%).
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q1 2024.
- Year-over-year, Non Operating Interest Expenses has declined for four consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2021 (growth of 47.6%), and the weakest in Q4 2023 (a decline of 69.3%).
- Business Quant data shows PCRX's Non Operating Interest Expenses at $3.7 million (Q1 2026), $3.89 million (Q4 2025) and $4.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Pacira BioSciences | 997.55 Mn | 59.58 Mn | 148.24 Mn | 3.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.62 Mn |
| Mar 31, 2026 | 3.70 Mn |
| Dec 31, 2025 | 3.89 Mn |
| Sep 30, 2025 | 4.28 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | 4.58 Mn |
| Dec 31, 2024 | 4.68 Mn |
| Sep 30, 2024 | 4.69 Mn |
| Jun 30, 2024 | 3.88 Mn |
| Mar 31, 2024 | 3.32 Mn |
| Dec 31, 2023 | 3.39 Mn |
| Sep 30, 2023 | 3.46 Mn |
| Jun 30, 2023 | 3.87 Mn |
| Mar 31, 2023 | 9.59 Mn |
| Dec 31, 2022 | 11.04 Mn |
| Sep 30, 2022 | 9.86 Mn |
| Jun 30, 2022 | 8.83 Mn |
| Mar 31, 2022 | 10.25 Mn |
| Dec 31, 2021 | 10.42 Mn |
| Sep 30, 2021 | 7.33 Mn |
Pacira BioSciences Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();