Bellring Brands (BRBR) Long-Term Debt Repayments (2019 - 2026)
Bellring Brands (BRBR) reported Long-Term Debt Repayments of $110 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 46.7% from $75 million a year earlier and up 29.4% from the prior quarter.
Bellring Brands (BRBR) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bellring Brands' Long-Term Debt Repayments came in at $540 million, up 191.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $450 million.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -20.5% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $25 million in FY2024 (-86.8%), $189 million in FY2023 (-72.0%), $674.9 million in FY2022 (+493.1%) and $113.8 million in FY2021 (-92.0%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $8.8 million in fiscal Q4 2021 and a high of $519.8 million in fiscal Q2 2022.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 57.1% over the last four quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q2 2022 (growth of 784.0%); the low point was fiscal Q2 2023 (a decline of 93.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $85 million (Q2 2026), $80 million (Q1 2026) and $265 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Bellring Brands | 1.06 Bn | 844.41 Mn | 163.30 Mn | 110.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.00 Mn |
| Mar 31, 2026 | 85.00 Mn |
| Dec 31, 2025 | 80.00 Mn |
| Sep 30, 2025 | 265.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 75.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | 25.00 Mn |
| Sep 30, 2023 | 54.00 Mn |
| Jun 30, 2023 | 60.00 Mn |
| Mar 31, 2023 | 35.00 Mn |
| Dec 31, 2022 | 40.00 Mn |
| Sep 30, 2022 | 40.00 Mn |
| Jun 30, 2022 | 25.00 Mn |
| Mar 31, 2022 | 519.80 Mn |
| Dec 31, 2021 | 90.10 Mn |
| Sep 30, 2021 | 8.80 Mn |
| Jun 30, 2021 | 8.70 Mn |
| Mar 31, 2021 | 58.80 Mn |
| Dec 31, 2020 | 37.50 Mn |
Bellring Brands Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BRBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BRBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();