Alcon (ALC) EBITDA (2009 - 2023)
Alcon (ALC) reported EBITDA of $804 million for Q2 2026, up 32.2% from $608 million a year earlier and up 28.8% from the prior quarter.
Alcon (ALC) EBITDA (2009 - 2023) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Alcon's EBITDA came in at $2.68 billion, up 3.8% year-over-year; for FY2025, it was $2.55 billion, down 3.3% from FY2024.
- EBITDA has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, EBITDA came in at $2.64 billion in FY2024 (+16.5%), $2.27 billion in FY2023 (+27.0%), $1.78 billion in FY2022 (-0.9%) and $1.8 billion in FY2021 (+57.3%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA since Q2 2010.
- Year over year, EBITDA gained in three of the last five quarters, with growth averaging 12.6%.
- The high point for year-over-year EBITDA in five years was Q4 2023 (growth of 83.6%); the low point was Q4 2022 (a decline of 36.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.93 Bn | 229.96 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 177.85 Bn | 148.28 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 161.87 Bn | 145.68 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.04 Bn | 2.08 Bn | 789.70 Mn |
| 5 | Medtronic | 122.44 Bn | 87.69 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 117.44 Bn | 103.56 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.73 Bn | 61.50 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 54.35 Bn | 51.50 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 51.39 Bn | 35.40 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Alcon | 34.62 Bn | 25.59 Bn | 1.68 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -628.00 Mn |
| Dec 31, 2022 | -708.00 Mn |
| Dec 31, 2021 | -489.00 Mn |
| Dec 31, 2020 | -1.02 Bn |
| Dec 31, 2019 | -1.22 Bn |
| Dec 31, 2010 | 652.00 Mn |
| Sep 30, 2010 | 563.00 Mn |
| Jun 30, 2010 | 817.00 Mn |
| Mar 31, 2010 | 715.00 Mn |
| Dec 31, 2009 | 596.00 Mn |
| Sep 30, 2009 | 633.00 Mn |
| Jun 30, 2009 | 685.00 Mn |
| Mar 31, 2009 | 565.00 Mn |
Alcon EBITDA 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=ebitda&ticker=ALC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();