Pacira BioSciences (PCRX) Interest Expenses (2010 - 2026)
Pacira BioSciences (PCRX) reported Interest Expenses of $3.62 million for Q2 2026, down 22.9% from $4.7 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Pacira BioSciences (PCRX) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pacira BioSciences' Interest Expenses came in at $15.49 million, down 16.9% year-over-year; for FY2025, it came in at $17.45 million, up 5.3% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- By year, Interest Expenses came in at $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 ranks as the lowest quarterly Interest Expenses since Q1 2024.
- Year over year, Interest Expenses has now declined in each of the last four quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2021 (growth of 47.6%); the low point was Q4 2023 (a decline of 69.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.7 million (Q1 2026), $3.89 million (Q4 2025) and $4.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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
Download Data
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 |
API Access
Pacira BioSciences 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=interest-expenses&ticker=PCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();