Bellring Brands (BRBR) Operating Expenses (2018 - 2026)
Bellring Brands (BRBR) reported Operating Expenses of $93.7 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 35.2% from $144.5 million a year earlier but up 2.4% from the prior quarter.
Bellring Brands (BRBR) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bellring Brands' Operating Expenses came in at $344.1 million, down 14.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $396 million, up 39.1% from FY2024.
- Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $284.6 million in FY2024 (+31.6%), $216.3 million in FY2023 (+14.0%), $189.7 million in FY2022 (+13.5%) and $167.1 million in FY2021 (+10.1%).
- Five-year quarterly Operating Expenses spans a low of $36.8 million in fiscal Q1 2022 and a high of $144.5 million in fiscal Q3 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 21.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2025 (growth of 95.3%); the low point was fiscal Q3 2026 (a decline of 35.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $91.5 million (Q2 2026), $78 million (Q1 2026) and $80.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Bellring Brands | 901.16 Mn | 682.26 Mn | 163.30 Mn | 93.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.70 Mn |
| Mar 31, 2026 | 91.50 Mn |
| Dec 31, 2025 | 78.00 Mn |
| Sep 30, 2025 | 80.90 Mn |
| Jun 30, 2025 | 144.50 Mn |
| Mar 31, 2025 | 90.50 Mn |
| Dec 31, 2024 | 80.10 Mn |
| Sep 30, 2024 | 88.70 Mn |
| Jun 30, 2024 | 74.00 Mn |
| Mar 31, 2024 | 69.10 Mn |
| Dec 31, 2023 | 52.80 Mn |
| Sep 30, 2023 | 65.20 Mn |
| Jun 30, 2023 | 55.10 Mn |
| Mar 31, 2023 | 54.30 Mn |
| Dec 31, 2022 | 41.70 Mn |
| Sep 30, 2022 | 56.20 Mn |
| Jun 30, 2022 | 47.80 Mn |
| Mar 31, 2022 | 48.90 Mn |
| Dec 31, 2021 | 36.80 Mn |
| Sep 30, 2021 | 38.00 Mn |
Bellring Brands 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=BRBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BRBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();