Alcon (ALC) Other Operating Expenses (2010 - 2023)
Alcon (ALC) posted Other Operating Expenses of $10 million for Q4 2023, up 42.9% from the prior quarter.
Analysis
Alcon (ALC) Other Operating Expenses (2010 - 2023) Analysis & Trends
For FY2023, Alcon's Other Operating Expenses came in at $17 million, down 26.1% from FY2022.
- Annual Other Operating Expenses has declined for four consecutive years, with a four-year compound annual growth rate of -31.0% (FY2019 to FY2023).
- In prior years, Alcon's Other Operating Expenses was $23 million in FY2022 (-45.2%), $42 million in FY2021 (-33.3%), $63 million in FY2020 (-16.0%) and $75 million in FY2019.
- The Q4 2023 figure stands as the highest quarterly Other Operating Expenses since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.98 Bn | 232.01 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.47 Bn | 147.90 Bn | 7.27 Bn |
| 3 | Danaher | 163.81 Bn | 147.62 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn |
| 5 | Medtronic | 122.62 Bn | 87.88 Bn | 6.34 Bn |
| 6 | Stryker | 118.28 Bn | 104.39 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.06 Bn | 61.83 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.64 Bn | 35.65 Bn | 1.35 Bn |
| 10 | Alcon | 34.78 Bn | 25.75 Bn | 1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Sep 30, 2022 | 16.00 Mn |
| Jun 30, 2022 | 7.00 Mn |
| Sep 30, 2021 | 42.00 Mn |
| Dec 31, 2020 | 24.00 Mn |
| Sep 30, 2020 | -1.00 Mn |
| Jun 30, 2020 | -4.00 Mn |
| Mar 31, 2020 | 44.00 Mn |
| Dec 31, 2019 | 75.00 Mn |
| Dec 31, 2010 | 11.00 Mn |
| Sep 30, 2010 | 133.00 Mn |
| Jun 30, 2010 | 4.00 Mn |
| Mar 31, 2010 | 4.00 Mn |
API Access
Alcon Other Operating Expenses 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=other-operating-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();