Starco Brands (STCB) Return on Sales [ROS] (2013 - 2026)
Starco Brands (STCB) reported Return on Sales [ROS] of -15.65% for Q2 2026, down 3.34 percentage points from -12.31% a year earlier and down 9.43 percentage points from the prior quarter.
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Analysis
Starco Brands (STCB) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Starco Brands' Return on Sales [ROS] came in at -60.68%, down 64.35 percentage points year-over-year; for FY2025, it came in at -46.40%, down 21.87 percentage points from FY2024.
- Return on Sales [ROS] has a four-year change of +293.79 percentage points (FY2021 to FY2025).
- By year, Return on Sales [ROS] came in at -24.54% in FY2024 (+45.17 pp), -69.70% in FY2023 (-84.42 pp), 14.72% in FY2022 (+354.91 pp) and -340.19% in FY2021.
- Five-year quarterly Return on Sales [ROS] spans a low of -933.54% in Q4 2021 and a high of 45.81% in Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -0.73 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 958.80 percentage points); the low point was Q3 2021 (a drop of 416.39 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -6.22% (Q1 2026), -270.91% (Q4 2025) and -9.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 2.76% |
| 10 | Starco Brands | 23.53 Mn | 27.36 Mn | 3.48 Mn | -15.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.65% |
| Mar 31, 2026 | -6.22% |
| Dec 31, 2025 | -270.91% |
| Sep 30, 2025 | -9.44% |
| Jun 30, 2025 | -12.31% |
| Mar 31, 2025 | 23.32% |
| Dec 31, 2024 | 45.81% |
| Sep 30, 2024 | -37.56% |
| Jun 30, 2024 | -71.09% |
| Mar 31, 2024 | -25.79% |
| Dec 31, 2023 | -215.02% |
| Sep 30, 2023 | 15.49% |
| Jun 30, 2023 | -34.00% |
| Mar 31, 2023 | -14.65% |
| Dec 31, 2022 | 25.25% |
| Sep 30, 2022 | -6.68% |
| Jun 30, 2022 | 14.86% |
| Mar 31, 2022 | 7.33% |
| Dec 31, 2021 | -933.54% |
| Sep 30, 2021 | -356.00% |
API Access
Starco 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=STCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STCB", "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=STCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();