Bellring Brands (BRBR) Return on Sales [ROS] (2018 - 2026)
Bellring Brands (BRBR) posted Return on Sales [ROS] of 11.47% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.28 percentage points from 8.18% a year earlier and up 0.44 percentage points from the prior quarter.
Bellring Brands (BRBR) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Bellring Brands was 13.25%, down 3.26 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 15.43%, down 3.99 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -1.17 percentage points (FY2020 to FY2025).
- In prior fiscal years, Bellring Brands' Return on Sales [ROS] was 19.42% in FY2024 (+2.19 pp), 17.24% in FY2023 (+1.75 pp), 15.49% in FY2022 (+2.02 pp) and 13.47% in FY2021 (-3.12 pp).
- Quarterly Return on Sales [ROS] has run from a low of 8.18% in fiscal Q3 2025 to a high of 21.65% in fiscal Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -2.58 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q2 2022, with a gain of 5.00 percentage points; the weakest was fiscal Q3 2025, with a drop of 13.47 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 11.02% (Q2 2026), 14.61% (Q1 2026) and 15.77% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 2.76% |
| 10 | Bellring Brands | 861.62 Mn | 642.72 Mn | 163.30 Mn | 11.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.47% |
| Mar 31, 2026 | 11.02% |
| Dec 31, 2025 | 14.61% |
| Sep 30, 2025 | 15.77% |
| Jun 30, 2025 | 8.18% |
| Mar 31, 2025 | 16.17% |
| Dec 31, 2024 | 21.64% |
| Sep 30, 2024 | 20.17% |
| Jun 30, 2024 | 21.65% |
| Mar 31, 2024 | 18.40% |
| Dec 31, 2023 | 16.96% |
| Sep 30, 2023 | 16.53% |
| Jun 30, 2023 | 17.04% |
| Mar 31, 2023 | 15.04% |
| Dec 31, 2022 | 20.73% |
| Sep 30, 2022 | 16.11% |
| Jun 30, 2022 | 18.21% |
| Mar 31, 2022 | 10.53% |
| Dec 31, 2021 | 16.51% |
| Sep 30, 2021 | 15.62% |
Bellring Brands 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=BRBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BRBR", "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=BRBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();