Pacira BioSciences (PCRX) Capital Expenditures (2010 - 2026)
Pacira BioSciences (PCRX) recorded Capital Expenditures of $1.34 million in Q2 2026, down 50.5% from $2.7 million a year earlier and down 51.0% from the prior quarter.
Pacira BioSciences (PCRX) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Pacira BioSciences' Capital Expenditures came in at $8.15 million as of Jun 30, 2026, down 53.3% year-over-year; for FY2025, it was $15.33 million, up 44.2% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $10.64 million in FY2024 (-29.8%), $15.16 million in FY2023 (-49.6%), $30.08 million in FY2022 (-34.4%) and $45.87 million in FY2021 (+21.3%).
- Quarterly Capital Expenditures has ranged from $218,000 in Q4 2025 to $13.08 million in Q3 2021 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for four consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 201.4% in Q1 2025, against a decline of 89.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.72 million (Q1 2026), $218,000 (Q4 2025) and $3.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.18 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 1.36 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 301.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.04 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -3.30 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 587.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 237.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 573.00 Mn |
| 10 | Pacira BioSciences | 1.46 Bn | 468.61 Mn | 139.42 Mn | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.63 Mn |
| Jun 30, 2026 | 1.34 Mn |
| Mar 31, 2026 | 2.72 Mn |
| Dec 31, 2025 | 218,000.00 |
| Sep 30, 2025 | 3.87 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 8.55 Mn |
| Dec 31, 2024 | 2.12 Mn |
| Sep 30, 2024 | 4.09 Mn |
| Jun 30, 2024 | 1.59 Mn |
| Mar 31, 2024 | 2.84 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 3.39 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 6.57 Mn |
| Dec 31, 2022 | 5.49 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 11.74 Mn |
| Mar 31, 2022 | 7.67 Mn |
| Dec 31, 2021 | 9.17 Mn |
Pacira BioSciences Capital Expenditures 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=capital-expenditures&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();