Molson Coors Beverage (TAP) Return on Sales [ROS] (2009 - 2026)
Molson Coors Beverage's Return on Sales [ROS] was 9.21% in Q2 2026, down 6.40 percentage points from 15.60% a year earlier and down 0.30 percentage points from the prior quarter.
Molson Coors Beverage (TAP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Molson Coors Beverage's Return on Sales [ROS] was -19.46% through Jun 30, 2026, down 31.58 percentage points year-over-year; for FY2025, it was -17.92%, down 30.69 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -14.43 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 12.77% in FY2024 (+2.41 pp), 10.36% in FY2023 (+9.13 pp), 1.23% in FY2022 (-10.45 pp) and 11.68% in FY2021 (+15.17 pp).
- Quarterly Return on Sales [ROS] has moved between -98.47% (Q3 2025) and 15.62% (Q2 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -14.56 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2021 (a gain of 51.34 percentage points); the worst was Q3 2025 (a drop of 111.00 percentage points).
- Per Business Quant data, TAP's Return on Sales [ROS] in the three quarters before Q2 2026 was 9.50% (Q1 2026), 10.37% (Q4 2025) and -98.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.54 Bn | 359.17 Bn | 8.42 Bn | 34.92% |
| 2 | Diageo | 205.37 Bn | 197.77 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 177.39 Bn | 177.39 Bn | 2.06 Bn | 13.96% |
| 4 | Pepsico | 171.43 Bn | 131.87 Bn | 13.11 Bn | 16.64% |
| 5 | Anheuser-Busch InBev | 131.23 Bn | 99.97 Bn | 9.58 Bn | 27.38% |
| 6 | Monster Beverage | 82.55 Bn | 70.80 Bn | 1.42 Bn | 29.18% |
| 7 | Ambev | 45.71 Bn | 31.73 Bn | 2.06 Bn | 23.89% |
| 8 | Coca-Cola Europacific Partners | 45.26 Bn | 38.51 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.76 Bn | 42.00 Bn | 3.07 Bn | 8.59% |
| 10 | Molson Coors Beverage | 8.04 Bn | 3.87 Bn | 1.06 Bn | 9.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.21% |
| Mar 31, 2026 | 9.50% |
| Dec 31, 2025 | 10.37% |
| Sep 30, 2025 | -98.47% |
| Jun 30, 2025 | 15.60% |
| Mar 31, 2025 | 6.93% |
| Dec 31, 2024 | 11.97% |
| Sep 30, 2024 | 12.52% |
| Jun 30, 2024 | 15.62% |
| Mar 31, 2024 | 10.31% |
| Dec 31, 2023 | 5.98% |
| Sep 30, 2023 | 15.16% |
| Jun 30, 2023 | 12.62% |
| Mar 31, 2023 | 5.70% |
| Dec 31, 2022 | -16.26% |
| Sep 30, 2022 | 9.38% |
| Jun 30, 2022 | 3.27% |
| Mar 31, 2022 | 8.49% |
| Dec 31, 2021 | 5.17% |
| Sep 30, 2021 | 15.47% |
Molson Coors Beverage Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();