Alcon (ALC) EV to EBITDA (2019)
Alcon's (ALC) EV to EBITDA stood at 11.41 in Q2 2026, down 29.0% from 16.07 a year earlier and down 14.3% from the prior quarter.
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Analysis
Alcon (ALC) EV to EBITDA (2019) Analysis & Trends
On a TTM basis, Alcon's EV to EBITDA came in at 9.66 as of Jun 30, 2026, down 32.4% year-over-year; for FY2025, it was 14.16, down 5.8% from FY2024.
- Annual EV to EBITDA has declined for five straight years.
- Across earlier years, EV to EBITDA came in at 15.03 in FY2024 (-7.8%), 16.30 in FY2023 (-10.1%), 18.13 in FY2022 (-20.2%) and 22.72 in FY2021 (-14.8%).
- The Q2 2026 figure is the lowest quarterly EV to EBITDA in data going back to Q2 2019.
- On a year-over-year basis, EV to EBITDA rose in 1 of the last five quarters, with an average decline of 8.8%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 27.9% in Q3 2023, against a decline of 62.8% in Q1 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Alcon | 34.78 Bn | 25.74 Bn | 1.68 Bn |
API Access
Alcon EV to 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=ev-to-ebitda&ticker=ALC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();