Alcon (ALC) Operating Expenses (2009 - 2026)
Alcon (ALC) reported Operating Expenses of -$1.63 billion for Q2 2026, compared with -$1.12 billion a year earlier.
Alcon (ALC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alcon's Operating Expenses came in at -$5.04 billion; for FY2025, it was -$4.44 billion.
- By year, Operating Expenses came in at -$4.52 billion in FY2024, -$4.56 billion in FY2023, -$4.22 billion in FY2022 and -$3.99 billion in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses in data going back to Q1 2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Alcon | 33.27 Bn | 24.24 Bn | 1.68 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Bn |
| Mar 31, 2026 | -1.13 Bn |
| Dec 31, 2025 | -1.17 Bn |
| Sep 30, 2025 | -1.12 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | -1.04 Bn |
| Dec 31, 2024 | -1.03 Bn |
| Sep 30, 2024 | -1.04 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | -1.00 Bn |
| Dec 31, 2023 | -1.29 Bn |
| Sep 30, 2023 | -1.01 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | -987.00 Mn |
| Dec 31, 2022 | -1.22 Bn |
| Sep 30, 2022 | -931.00 Mn |
| Jun 30, 2022 | 975.00 Mn |
| Mar 31, 2022 | -907.00 Mn |
| Dec 31, 2021 | -1.22 Bn |
| Sep 30, 2021 | -1.10 Bn |
Alcon 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=operating-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();