Alcon (ALC) EBITDA (2009 - 2026)
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.
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Analysis
Alcon (ALC) EBITDA (2009 - 2026) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Alcon | 31.56 Bn | 24.76 Bn | 1.68 Bn | 804.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 804.00 Mn |
| Mar 31, 2026 | 624.00 Mn |
| Dec 31, 2025 | 645.00 Mn |
| Jun 30, 2025 | 608.00 Mn |
| Dec 31, 2024 | 705.00 Mn |
| Sep 30, 2024 | 642.00 Mn |
| Jun 30, 2024 | 628.00 Mn |
| Mar 31, 2024 | 664.00 Mn |
| Dec 31, 2023 | 514.00 Mn |
| Sep 30, 2023 | 610.00 Mn |
| Jun 30, 2023 | 571.00 Mn |
| Mar 31, 2023 | 570.00 Mn |
| Dec 31, 2022 | 280.00 Mn |
| Sep 30, 2022 | 469.00 Mn |
| Jun 30, 2022 | 525.00 Mn |
| Mar 31, 2022 | 509.00 Mn |
| Dec 31, 2021 | 439.00 Mn |
| Sep 30, 2021 | 453.00 Mn |
| Jun 30, 2021 | 475.00 Mn |
| Mar 31, 2021 | 433.00 Mn |
API Access
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_KEYimport 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();