Bellring Brands (BRBR) Change in Inventory (2018 - 2026)
Bellring Brands (BRBR) posted Change in Inventory of $71.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 150.3% from $28.6 million a year earlier.
Bellring Brands (BRBR) Change in Inventory (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Bellring Brands was $65.5 million, down 62.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $43.1 million, down 52.6% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In prior fiscal years, Bellring Brands' Change in Inventory was $90.9 million in FY2024, -$6.4 million in FY2023, $83.9 million in FY2022 and -$32.4 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$85.2 million in fiscal Q4 2025 to a high of $104.7 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Change in Inventory increased in three of the last four quarters, with growth averaging 148.3%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q2 2025, with growth of 414.5%; the weakest was fiscal Q2 2024, with a decline of 86.9%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was -$25.6 million (Q2 2026), $104.7 million (Q1 2026) and -$85.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 330.00 Mn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 314.42 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 33.00 Mn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 261.10 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 41.40 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 61.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Bellring Brands | 901.16 Mn | 682.26 Mn | 163.30 Mn | 71.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.60 Mn |
| Mar 31, 2026 | -25.60 Mn |
| Dec 31, 2025 | 104.70 Mn |
| Sep 30, 2025 | -85.20 Mn |
| Jun 30, 2025 | 28.60 Mn |
| Mar 31, 2025 | 35.50 Mn |
| Dec 31, 2024 | 64.20 Mn |
| Sep 30, 2024 | 47.50 Mn |
| Jun 30, 2024 | 43.80 Mn |
| Mar 31, 2024 | 6.90 Mn |
| Dec 31, 2023 | -7.30 Mn |
| Sep 30, 2023 | -41.60 Mn |
| Jun 30, 2023 | -29.30 Mn |
| Mar 31, 2023 | 52.60 Mn |
| Dec 31, 2022 | 11.90 Mn |
| Sep 30, 2022 | -27.40 Mn |
| Jun 30, 2022 | 84.00 Mn |
| Mar 31, 2022 | 14.90 Mn |
| Dec 31, 2021 | 12.40 Mn |
| Sep 30, 2021 | -23.40 Mn |
Bellring Brands Change in Inventory 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=change-in-inventory&ticker=BRBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=BRBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();