Utz Brands (UTZ) Selling, General & Administrative (2018 - 2026)
Utz Brands' Selling, General & Administrative was $101.3 million in 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) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Utz Brands' Selling, General & Administrative was $302 million through Jun 28, 2026, up 15.5% year-over-year; for FY2025, it was $348 million, up 12.2% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 68.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative 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.
- Quarterly Selling, General & Administrative has moved between -$13.9 million (Q4 2024) and $180.14 million (Q3 2021) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last six quarters, with an average decline of 0.6%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 15.1%); the worst was Q4 2023 (a decline of 99.2%).
- Per Business Quant data, UTZ's Selling, General & Administrative in the three quarters before Q2 2026 was $85.4 million (Q1 2026), -$7.8 million (Q4 2025) and $123.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 98.30 Bn | - | - |
| 2 | Mondelez International | 81.43 Bn | 74.75 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 34.30 Bn | 30.54 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 29.39 Bn | 15.92 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.37 Bn | 16.03 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.96 Bn | 12.61 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.27 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 8.80 Bn | 6.09 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Utz Brands | 2.05 Bn | 2.36 Bn | 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=UTZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();