Molson Coors Beverage (TAP) Interest Expenses (2009 - 2010)
Molson Coors Beverage's Interest Expenses was $247.9 million in FY2025, down 12.3% from $282.7 million in FY2024.
Analysis
Molson Coors Beverage (TAP) Interest Expenses (2009 - 2010) Analysis & Trends
From FY2009 onward, Molson Coors Beverage has reported Interest Expenses for 17 years.
- Interest Expenses shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Annual Interest Expenses has moved between $234 million (FY2023) and $282.7 million (FY2024) over five years.
- Per Business Quant data, Interest Expenses in earlier years was $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) | Int Expense (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 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=interest-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();