Utz Brands (UTZ) Operating Expenses (2018 - 2026)
Utz Brands' Operating Expenses came in at $101.3 million for Q2 2026, up 15.1% from $88 million a year earlier and up 18.6% from the prior quarter.
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Analysis
Utz Brands (UTZ) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Utz Brands reported Operating Expenses of $302 million, up 15.5% year-over-year; for FY2025, it came in at $348 million, up 12.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 68.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $310.1 million in FY2024 (-5.3%), $327.4 million in FY2023 (-26.3%), $444.4 million in FY2022 and $107.49 million in FY2021.
- The five-year range for quarterly Operating Expenses is -$13.9 million (Q4 2024) to $180.14 million (Q3 2021).
- Year-over-year, Operating Expenses increased in four of the last six quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 15.1%), and the weakest in Q4 2023 (a decline of 99.2%).
- Business Quant data shows UTZ's Operating Expenses at $85.4 million (Q1 2026), -$7.8 million (Q4 2025) and $123.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 142.47 Bn | 93.93 Bn | - | - |
| 2 | Mondelez International | 82.20 Bn | 75.47 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 34.19 Bn | 30.44 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 28.23 Bn | 14.65 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.93 Bn | 15.58 Bn | 1.49 Bn | 853.60 Mn |
| 6 | J M Smucker | 13.85 Bn | 13.63 Bn | 979.60 Mn | 411.10 Mn |
| 7 | Mccormick | 12.79 Bn | 11.85 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.28 Bn | 7.95 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.73 Bn | 6.01 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Utz Brands | 1.27 Bn | 956.19 Mn | 96.20 Mn | 101.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 101.30 Mn |
| Mar 29, 2026 | 85.40 Mn |
| Dec 28, 2025 | -7.80 Mn |
| Sep 28, 2025 | 123.10 Mn |
| Jun 29, 2025 | 88.00 Mn |
| Mar 30, 2025 | 77.40 Mn |
| Dec 29, 2024 | -13.90 Mn |
| Sep 29, 2024 | 110.00 Mn |
| Jun 30, 2024 | 104.60 Mn |
| Mar 31, 2024 | 109.45 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Oct 1, 2023 | 105.50 Mn |
| Jul 2, 2023 | 114.45 Mn |
| Apr 2, 2023 | 106.09 Mn |
| Jan 1, 2023 | 165.55 Mn |
| Oct 2, 2022 | 102.45 Mn |
| Jul 3, 2022 | 107.61 Mn |
| Apr 3, 2022 | 126.66 Mn |
| Oct 3, 2021 | 98.71 Mn |
| Jul 4, 2021 | 93.48 Mn |
API Access
Utz Brands Operating Expenses 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=operating-expenses&ticker=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();