Utz Brands (UTZ) Total Non-Current Liabilities (2019 - 2026)
Utz Brands (UTZ) reported Total Non-Current Liabilities of $1.12 billion for Q2 2026, down 3.0% from $1.16 billion a year earlier and down 1.1% from the prior quarter.
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Analysis
Utz Brands (UTZ) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Utz Brands posted Total Non-Current Liabilities of $1.13 billion, up 6.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.06 billion in FY2024 (-6.8%), $1.13 billion in FY2023 (-1.6%), $1.15 billion in FY2022 and $999.15 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 3.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2025 (growth of 17.1%); the low point was Q1 2024 (a decline of 14.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.13 billion (Q1 2026), $1.13 billion (Q4 2025) and $1.14 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 43.35 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 8.39 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 34.81 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Utz Brands | 1.26 Bn | 951.32 Mn | 96.20 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.12 Bn |
| Mar 29, 2026 | 1.13 Bn |
| Dec 28, 2025 | 1.13 Bn |
| Sep 28, 2025 | 1.14 Bn |
| Jun 29, 2025 | 1.16 Bn |
| Mar 30, 2025 | 1.14 Bn |
| Dec 29, 2024 | 1.06 Bn |
| Sep 29, 2024 | 973.97 Mn |
| Jun 30, 2024 | 1.03 Bn |
| Mar 31, 2024 | 999.89 Mn |
| Dec 31, 2023 | 1.13 Bn |
| Oct 1, 2023 | 1.13 Bn |
| Jul 2, 2023 | 1.21 Bn |
| Apr 2, 2023 | 1.17 Bn |
| Jan 1, 2023 | 1.15 Bn |
| Oct 2, 2022 | 1.15 Bn |
| Jul 3, 2022 | 1.14 Bn |
| Apr 3, 2022 | 1.11 Bn |
| Jan 2, 2022 | 1.09 Bn |
| Oct 3, 2021 | 974.97 Mn |
API Access
Utz Brands Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();