Bioregenx (BRGX) Restructuring Costs (2022 - 2023)
Bioregenx (BRGX) posted Restructuring Costs of $6193.0 for Q4 2023, up 517.45% on a QoQ basis from $1003.0 in Q3 2023, and down 8.43% year-over-year from $6763.0 in Q4 2022.
Bioregenx (BRGX) Restructuring Costs (2022 - 2023) Analysis & Trends
Bioregenx has reported Restructuring Costs for 2 years, with the latest figure at $6193.0 in Q4 2023.
- On a quarterly basis, Restructuring Costs fell 8.43% year-over-year to $6193.0 in Q4 2023; TTM through Dec 2023 was $18254.0, a 33.97% decrease from a year earlier, with the FY2023 full-year figure at $18254.0, down 33.97% from the prior year.
- Restructuring Costs was $6193.0 for Q4 2023 at Bioregenx, up from $1003.0 in the prior quarter.
- The five-year high for Restructuring Costs was $9168.0 in Q1 2023, with the low at $1003.0 in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Abbott Laboratories | 177.43 Bn | 172.48 Bn | 7.27 Bn |
| 2 | Intuitive Surgical | 139.20 Bn | 134.11 Bn | 1.96 Bn |
| 3 | Medtronic | 118.01 Bn | 109.81 Bn | 6.34 Bn |
| 4 | Stryker | 105.44 Bn | 101.96 Bn | 4.50 Bn |
| 5 | Boston Scientific | 62.90 Bn | 62.60 Bn | 3.85 Bn |
| 6 | Edwards Lifesciences | 50.87 Bn | 46.72 Bn | 1.35 Bn |
| 7 | Dexcom | 33.72 Bn | 31.77 Bn | 830.00 Mn |
| 8 | Resmed | 32.45 Bn | 30.98 Bn | 861.22 Mn |
| 9 | Alcon | 31.70 Bn | 30.25 Bn | 1.68 Bn |
| 10 | Bioregenx | 9.72 Mn | 9.67 Mn | 348,288.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 6,193.00 |
| Sep 30, 2023 | 1,003.00 |
| Jun 30, 2023 | 1,890.00 |
| Mar 31, 2023 | 9,168.00 |
| Dec 31, 2022 | 6,763.00 |
| Sep 30, 2022 | 6,374.00 |
| Jun 30, 2022 | 7,888.00 |
| Mar 31, 2022 | 6,622.00 |
Bioregenx Restructuring Costs 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=restructuring-costs&ticker=BRGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BRGX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=BRGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();