Utz Brands (UTZ) Long-Term Debt Repayments (2019 - 2026)
Utz Brands' Long-Term Debt Repayments came in at $9.4 million for Q2 2026, up 67.9% from $5.6 million a year earlier and up 23.7% from the prior quarter.
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Analysis
Utz Brands (UTZ) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Utz Brands reported Long-Term Debt Repayments of $27.3 million, up 30.6% year-over-year; for FY2025, it came in at $23.9 million, down 86.3% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -36.9% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $173.9 million in FY2024 (+495.5%), $29.2 million in FY2023 (+38.8%), $21.04 million in FY2022 and $239.99 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2024.
- Year-over-year, Long-Term Debt Repayments increased in three of the last eight quarters, with an average decline of 12.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2024 (growth of 123.1%), and the weakest in Q1 2025 (a decline of 94.8%).
- Business Quant data shows UTZ's Long-Term Debt Repayments at $7.6 million (Q1 2026), $4.2 million (Q4 2025) and $6.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Utz Brands | 1.27 Bn | 956.19 Mn | 96.20 Mn | 9.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.40 Mn |
| Mar 29, 2026 | 7.60 Mn |
| Dec 28, 2025 | 4.20 Mn |
| Sep 28, 2025 | 6.10 Mn |
| Jun 29, 2025 | 5.60 Mn |
| Mar 30, 2025 | 8.00 Mn |
| Dec 29, 2024 | 3.90 Mn |
| Sep 29, 2024 | 3.40 Mn |
| Jun 30, 2024 | 12.36 Mn |
| Mar 31, 2024 | 154.24 Mn |
| Dec 31, 2023 | 5.46 Mn |
| Oct 1, 2023 | 11.96 Mn |
| Jul 2, 2023 | 5.54 Mn |
| Apr 2, 2023 | 6.24 Mn |
| Jan 1, 2023 | -768.63 Mn |
| Apr 3, 2022 | 4.21 Mn |
| Apr 4, 2021 | 783.74 Mn |
| Jan 3, 2021 | 239.99 Mn |
| Aug 28, 2020 | 1.85 Mn |
| Mar 29, 2020 | 2.18 Mn |
API Access
Utz 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=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "UTZ", "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=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();