Pacira BioSciences (PCRX) Gains from Sales and Divestitures (2011 - 2022)
Pacira BioSciences' Gains from Sales and Divestitures came in at -$193,000 for FY2022, compared with $10,000 in FY2021.
Analysis
Pacira BioSciences (PCRX) Gains from Sales and Divestitures (2011 - 2022) Analysis & Trends
Going back to FY2009, Pacira BioSciences' Gains from Sales and Divestitures data covers 14 years.
- The FY2022 figure represents the lowest annual Gains from Sales and Divestitures since FY2019.
- Per Business Quant, earlier years put Gains from Sales and Divestitures at $10,000 in FY2021, -$22,000 in FY2020, -$1.01 million in FY2019 and -$65,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Pacira BioSciences | 1.00 Bn | 65.95 Mn | 148.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -184,000.00 |
| Mar 31, 2022 | -9,000.00 |
| Jun 30, 2021 | -1,000.00 |
| Mar 31, 2021 | 11,000.00 |
| Mar 31, 2020 | -22,000.00 |
| Dec 31, 2019 | -12,000.00 |
| Sep 30, 2019 | -841,000.00 |
| Jun 30, 2019 | -157,000.00 |
| Dec 31, 2018 | -55,000.00 |
| Mar 31, 2018 | -10,000.00 |
| Dec 31, 2017 | 6,000.00 |
| Sep 30, 2017 | -109,000.00 |
| Jun 30, 2017 | -1.89 Mn |
| Mar 31, 2017 | -137,000.00 |
| Dec 31, 2016 | -389,000.00 |
| Dec 31, 2015 | -6,000.00 |
| Dec 31, 2014 | -158,000.00 |
| Jun 30, 2014 | -149,000.00 |
| Mar 31, 2014 | -8,000.00 |
| Dec 31, 2013 | -1,000.00 |
API Access
Pacira BioSciences Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=PCRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=PCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();