Alcon (ALC) Price to Book (2019 - 2026)
Alcon's Price to Book was 1.51 in Q2 2026, down 23.2% from 1.97 a year earlier and down 8.7% from the prior quarter.
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Analysis
Alcon (ALC) Price to Book (2019 - 2026) Analysis & Trends
For FY2025, Price to Book at Alcon came in at 1.74, down 10.5% from FY2024.
- In earlier years, Price to Book was 1.95 in FY2024 (+4.3%), 1.87 in FY2023 (+9.4%), 1.71 in FY2022 (-23.0%) and 2.22 in FY2021 (+29.3%).
- The Q2 2026 figure marks the lowest quarterly Price to Book since Q3 2022.
- Compared with a year earlier, Price to Book was higher in two of the last five quarters, with an average decline of 2.5%.
- The best year-over-year quarter for Price to Book over five years was Q3 2021 (growth of 38.3%); the worst was Q3 2022 (a decline of 29.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Alcon | 31.56 Bn | 24.76 Bn | 1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 |
| Mar 31, 2026 | 1.66 |
| Dec 31, 2025 | 1.74 |
| Jun 30, 2025 | 1.97 |
| Dec 31, 2024 | 1.95 |
| Sep 30, 2024 | 2.31 |
| Jun 30, 2024 | 2.10 |
| Mar 31, 2024 | 1.97 |
| Dec 31, 2023 | 1.87 |
| Sep 30, 2023 | 1.87 |
| Jun 30, 2023 | 2.02 |
| Mar 31, 2023 | 1.74 |
| Dec 31, 2022 | 1.71 |
| Sep 30, 2022 | 1.45 |
| Jun 30, 2022 | 1.75 |
| Mar 31, 2022 | 2.00 |
| Dec 31, 2021 | 2.22 |
| Sep 30, 2021 | 2.06 |
| Jun 30, 2021 | 1.80 |
| Mar 31, 2021 | 1.82 |
API Access
Alcon Price to Book 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=price-to-book&ticker=ALC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();