Alcon (ALC) Notes Payables (2009 - 2024)
Alcon's Notes Payables came in at $1.5 billion for Q2 2019.
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Analysis
Alcon (ALC) Notes Payables (2009 - 2024) Analysis & Trends
At the end of FY2010, Alcon's Notes Payables was $337 million, down 44.5% from FY2009.
- Going back by year, Notes Payables was $607 million in FY2009.
- The Q2 2019 figure represents the highest quarterly Notes Payables in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Alcon | 33.27 Bn | 24.24 Bn | 1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -136.00 Mn |
| Mar 31, 2024 | -138.00 Mn |
| Dec 31, 2023 | -53.00 Mn |
| Jun 30, 2023 | -99.00 Mn |
| Mar 31, 2023 | -90.00 Mn |
| Dec 31, 2022 | -97.00 Mn |
| Sep 30, 2022 | -80.00 Mn |
| Jun 30, 2022 | -86.00 Mn |
| Mar 31, 2022 | -119.00 Mn |
| Dec 31, 2021 | -107.00 Mn |
| Sep 30, 2021 | -132.00 Mn |
| Jun 30, 2021 | -132.00 Mn |
| Mar 31, 2021 | -130.00 Mn |
| Dec 31, 2020 | -162.00 Mn |
| Jun 30, 2020 | -234.00 Mn |
| Mar 31, 2020 | -280.00 Mn |
| Dec 31, 2019 | -245.00 Mn |
| Jun 30, 2019 | -1.76 Bn |
| Dec 31, 2018 | -47.00 Mn |
| Dec 31, 2010 | 337.00 Mn |
API Access
Alcon Notes Payables 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=notes-payables&ticker=ALC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=ALC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();