Utz Brands (UTZ) Other Non-Current Liabilities (2019 - 2026)
Utz Brands' Other Non-Current Liabilities came in at $180.4 million for Q2 2026, up 3.7% from $174 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Utz Brands (UTZ) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Utz Brands' Other Non-Current Liabilities was $166.5 million, up 1.4% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $164.2 million in FY2024 (+114.0%), $76.72 million in FY2023 (+14.0%), $67.27 million in FY2022 and $137.61 million in FY2021.
- The five-year range for quarterly Other Non-Current Liabilities is $42.19 million (Q2 2024) to $181.4 million (Q1 2026).
- Year-over-year, Other Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 96.0% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2025 (growth of 312.4%), and the weakest in Q2 2024 (a decline of 6.1%).
- Business Quant data shows UTZ's Other Non-Current Liabilities at $181.4 million (Q1 2026), $166.5 million (Q4 2025) and $170 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 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 |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Utz Brands | 1.27 Bn | 957.96 Mn | 96.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 180.40 Mn |
| Mar 29, 2026 | 181.40 Mn |
| Dec 28, 2025 | 166.50 Mn |
| Sep 28, 2025 | 170.00 Mn |
| Jun 29, 2025 | 174.00 Mn |
| Mar 30, 2025 | 170.87 Mn |
| Dec 29, 2024 | 164.20 Mn |
| Sep 29, 2024 | 127.59 Mn |
| Jun 30, 2024 | 42.19 Mn |
| Mar 31, 2024 | 55.08 Mn |
| Dec 31, 2023 | 119.99 Mn |
| Oct 1, 2023 | 104.50 Mn |
| Jul 2, 2023 | 44.93 Mn |
| Apr 2, 2023 | 47.74 Mn |
| Jan 1, 2023 | 112.77 Mn |
| Oct 2, 2022 | 64.69 Mn |
| Jul 3, 2022 | 42.19 Mn |
| Apr 3, 2022 | 38.52 Mn |
| Jan 2, 2022 | 102.06 Mn |
| Oct 3, 2021 | 82.00 Mn |
API Access
Utz Brands Other 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=other-non-current-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();