Utz Brands (UTZ) Return on Sales [ROS] (2019 - 2026)
Utz Brands (UTZ) recorded Return on Sales [ROS] of -1.48% in Q2 2026, down 3.22 percentage points from 1.75% a year earlier and down 3.64 percentage points from the prior quarter.
Utz Brands (UTZ) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Utz Brands' Return on Sales [ROS] came in at 0.67% as of Jun 28, 2026, down 2.05 percentage points year-over-year; for FY2025, it came in at 1.36%, down 2.82 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +2.84 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 4.18% in FY2024 (+3.07 pp), 1.11% in FY2023 (+0.73 pp), 0.38% in FY2022 and -0.29% in FY2021.
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -1.33 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.58 percentage points in Q2 2024, against a drop of 4.57 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.16% (Q1 2026), 1.20% (Q4 2025) and 0.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Utz Brands | 2.05 Bn | 2.36 Bn | 96.20 Mn | -1.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -1.48% |
| Mar 29, 2026 | 2.16% |
| Dec 28, 2025 | 1.20% |
| Sep 28, 2025 | 0.87% |
| Jun 29, 2025 | 1.75% |
| Mar 30, 2025 | 1.62% |
| Dec 29, 2024 | 2.11% |
| Sep 29, 2024 | 5.34% |
| Jun 30, 2024 | 6.32% |
| Mar 31, 2024 | 2.79% |
| Dec 31, 2023 | 2.89% |
| Oct 1, 2023 | 1.42% |
| Jul 2, 2023 | 0.73% |
| Apr 2, 2023 | -0.60% |
| Jan 1, 2023 | -2.12% |
| Oct 2, 2022 | 4.14% |
| Jul 3, 2022 | 1.51% |
| Apr 3, 2022 | -6.60% |
| Oct 3, 2021 | 0.92% |
| Jul 4, 2021 | 1.47% |
Utz Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=UTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=UTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();