Utz Brands (UTZ) Total Liabilities (2018 - 2026)
Utz Brands' Total Liabilities was $1.46 billion in Q2 2026, down 0.2% from $1.46 billion a year earlier but up 0.9% from the prior quarter.
Analysis
Utz Brands (UTZ) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Utz Brands came in at $1.45 billion, up 8.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.34 billion in FY2024 (-2.0%), $1.37 billion in FY2023 (-1.9%), $1.39 billion in FY2022 and $1.2 billion in FY2021.
- Quarterly Total Liabilities has moved between $1.16 billion (Q3 2021) and $1.46 billion (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in five of the last eight quarters, with growth averaging 5.7%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 17.7%); the worst was Q2 2024 (a decline of 12.4%).
- Per Business Quant data, UTZ's Total Liabilities in the three quarters before Q2 2026 was $1.45 billion (Q1 2026), $1.45 billion (Q4 2025) and $1.41 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Utz Brands | 2.05 Bn | 2.36 Bn | 96.20 Mn | 1.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.46 Bn |
| Mar 29, 2026 | 1.45 Bn |
| Dec 28, 2025 | 1.45 Bn |
| Sep 28, 2025 | 1.41 Bn |
| Jun 29, 2025 | 1.46 Bn |
| Mar 30, 2025 | 1.41 Bn |
| Dec 29, 2024 | 1.34 Bn |
| Sep 29, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Oct 1, 2023 | 1.36 Bn |
| Jul 2, 2023 | 1.42 Bn |
| Apr 2, 2023 | 1.39 Bn |
| Jan 1, 2023 | 1.39 Bn |
| Oct 2, 2022 | 1.36 Bn |
| Jul 3, 2022 | 1.33 Bn |
| Apr 3, 2022 | 1.30 Bn |
| Jan 2, 2022 | 1.28 Bn |
| Oct 3, 2021 | 1.13 Bn |
API Access
Utz Brands Total 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-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();