Pacira BioSciences (PCRX) Depreciation & Amortization (CF) (2010 - 2026)
Pacira BioSciences (PCRX) reported Depreciation & Amortization (CF) of $21.3 million for Q2 2026, down 22.1% from $27.32 million a year earlier and down 0.2% from the prior quarter.
Pacira BioSciences (PCRX) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pacira BioSciences' Depreciation & Amortization (CF) came in at $85.16 million, down 5.4% year-over-year; for FY2025, it came in at $91.02 million, up 15.5% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 35.5% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $78.79 million in FY2024 (+4.2%), $75.57 million in FY2023 (-17.4%), $91.5 million in FY2022 (+220.5%) and $28.55 million in FY2021 (+43.4%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $5.73 million in Q3 2021 and a high of $30.41 million in Q4 2022.
- Year over year, Depreciation & Amortization (CF) gained in seven of the last eight quarters, with growth averaging 8.5%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2022 (growth of 326.1%); the low point was Q4 2023 (a decline of 39.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.33 million (Q1 2026), $21.34 million (Q4 2025) and $21.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Pacira BioSciences | 995.96 Mn | 57.99 Mn | 148.24 Mn | 21.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.30 Mn |
| Mar 31, 2026 | 21.33 Mn |
| Dec 31, 2025 | 21.34 Mn |
| Sep 30, 2025 | 21.19 Mn |
| Jun 30, 2025 | 27.32 Mn |
| Mar 31, 2025 | 21.17 Mn |
| Dec 31, 2024 | 21.24 Mn |
| Sep 30, 2024 | 20.25 Mn |
| Jun 30, 2024 | 18.86 Mn |
| Mar 31, 2024 | 18.43 Mn |
| Dec 31, 2023 | 18.49 Mn |
| Sep 30, 2023 | 18.43 Mn |
| Jun 30, 2023 | 19.05 Mn |
| Mar 31, 2023 | 19.60 Mn |
| Dec 31, 2022 | 30.41 Mn |
| Sep 30, 2022 | 20.20 Mn |
| Jun 30, 2022 | 20.86 Mn |
| Mar 31, 2022 | 20.03 Mn |
| Dec 31, 2021 | 13.07 Mn |
| Sep 30, 2021 | 5.73 Mn |
Pacira BioSciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();