Alcon (ALC) Restructuring Costs (2019 - 2024)
Alcon (ALC) reported Restructuring Costs of -$1 million for Q3 2024, compared with -$30 million a year earlier.
Alcon (ALC) Restructuring Costs (2019 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, Alcon's Restructuring Costs came in at -$196 million; for FY2023, it came in at -$139 million.
- By year, Restructuring Costs came in at -$119 million in FY2022, -$68 million in FY2021, -$49 million in FY2020 and -$52 million in FY2019.
- The Q3 2024 figure ranks as the highest quarterly Restructuring Costs in data going back to Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Alcon | 31.56 Bn | 24.76 Bn | 1.68 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -1.00 Mn |
| Dec 31, 2023 | -139.00 Mn |
| Sep 30, 2023 | -30.00 Mn |
| Jun 30, 2023 | -26.00 Mn |
| Dec 31, 2022 | -119.00 Mn |
| Sep 30, 2022 | -17.00 Mn |
| Jun 30, 2022 | -9.00 Mn |
| Dec 31, 2021 | -68.00 Mn |
| Sep 30, 2021 | -14.00 Mn |
| Jun 30, 2021 | -15.00 Mn |
| Mar 31, 2021 | -11.00 Mn |
| Dec 31, 2020 | -49.00 Mn |
| Sep 30, 2020 | -14.00 Mn |
| Jun 30, 2020 | -13.00 Mn |
| Mar 31, 2020 | -7.00 Mn |
| Dec 31, 2019 | -52.00 Mn |
Alcon 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=ALC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "ALC", "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=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();