Alcon (ALC) Accumulated Expenses (2019)
Alcon's Accumulated Expenses came in at $1 million for Q4 2025.
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Analysis
Alcon (ALC) Accumulated Expenses (2019) Analysis & Trends
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.70 Bn | 233.73 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.70 Bn | 146.13 Bn | 7.27 Bn |
| 3 | Danaher | 164.78 Bn | 148.58 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.70 Bn | 135.13 Bn | 1.96 Bn |
| 5 | Medtronic | 122.02 Bn | 87.27 Bn | 6.34 Bn |
| 6 | Stryker | 117.09 Bn | 103.21 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.59 Bn | 61.35 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.40 Bn | 51.55 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.63 Bn | 1.35 Bn |
| 10 | Alcon | 34.54 Bn | 25.51 Bn | 1.68 Bn |
API Access
Alcon Accumulated 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=accumulated-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();