Molson Coors Beverage (TAP) Non Operating Interest Expenses (2009 - 2010)
Molson Coors Beverage (TAP) reported Non Operating Interest Expenses of $247.9 million for FY2025, down 12.3% from $282.7 million in FY2024.
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Analysis
Molson Coors Beverage (TAP) Non Operating Interest Expenses (2009 - 2010) Analysis & Trends
Dating back to FY2009, Molson Coors Beverage's Non Operating Interest Expenses record includes 17 years.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Five-year annual Non Operating Interest Expenses spans a low of $234 million in FY2023 and a high of $282.7 million in FY2024.
- According to Business Quant data, Non Operating Interest Expenses came in at $282.7 million in FY2024 (+20.8%), $234 million in FY2023 (-6.6%), $250.6 million in FY2022 (-3.7%) and $260.3 million in FY2021 (-5.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | 369.00 Mn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | 130.59 Mn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | 230.00 Mn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -180.13 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | -356.20 Mn |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | - |
| 10 | Molson Coors Beverage | 7.90 Bn | 3.73 Bn | 1.06 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2010 | 25.40 Mn |
| Mar 27, 2010 | 24.40 Mn |
| Jun 28, 2009 | 19.90 Mn |
| Mar 29, 2009 | 19.90 Mn |
API Access
Molson Coors Beverage Non Operating Interest 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=non-operating-interest-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TAP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();