Molson Coors Beverage (TAP) Operating Expenses (2009 - 2026)
Molson Coors Beverage's Operating Expenses came in at $718.5 million for Q2 2026, up 3.7% from $693.1 million a year earlier and up 17.8% from the prior quarter.
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Analysis
Molson Coors Beverage (TAP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Molson Coors Beverage reported Operating Expenses of $2.63 billion, down 2.0% year-over-year; for FY2025, it was $2.64 billion, down 2.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.72 billion in FY2024 (-2.2%), $2.78 billion in FY2023 (+6.2%), $2.62 billion in FY2022 (+0.8%) and $2.6 billion in FY2021 (-37.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2024.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 3.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 27.0%), and the weakest in Q4 2021 (a decline of 68.2%).
- Business Quant data shows TAP's Operating Expenses at $610 million (Q1 2026), $610.9 million (Q4 2025) and $686.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Molson Coors Beverage | 7.90 Bn | 3.73 Bn | 1.06 Bn | 718.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 718.50 Mn |
| Mar 31, 2026 | 610.00 Mn |
| Dec 31, 2025 | 610.90 Mn |
| Sep 30, 2025 | 686.70 Mn |
| Jun 30, 2025 | 693.10 Mn |
| Mar 31, 2025 | 653.20 Mn |
| Dec 31, 2024 | 649.70 Mn |
| Sep 30, 2024 | 684.70 Mn |
| Jun 30, 2024 | 728.50 Mn |
| Mar 31, 2024 | 654.60 Mn |
| Dec 31, 2023 | 683.20 Mn |
| Sep 30, 2023 | 746.80 Mn |
| Jun 30, 2023 | 734.90 Mn |
| Mar 31, 2023 | 615.00 Mn |
| Dec 31, 2022 | 575.50 Mn |
| Sep 30, 2022 | 654.70 Mn |
| Jun 30, 2022 | 708.20 Mn |
| Mar 31, 2022 | 703.30 Mn |
| Dec 31, 2021 | 692.30 Mn |
| Sep 30, 2021 | 662.20 Mn |
API Access
Molson Coors Beverage Operating 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=operating-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();