Starco Brands (STCB) Return on Capital Employed [ROCE] (2022 - 2026)
Starco Brands (STCB) posted Return on Capital Employed [ROCE] of -101.11% for Q2 2026, down 106.44 percentage points from 5.33% a year earlier and down 1.43 percentage points from the prior quarter.
Starco Brands (STCB) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Starco Brands' Return on Capital Employed [ROCE] came in at -54.44%, down 18.02 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of -62.91 percentage points (FY2022 to FY2025).
- In prior years, Starco Brands' Return on Capital Employed [ROCE] was -36.42% in FY2024 (+952.74 pp), -989.17% in FY2023 (-997.63 pp) and 8.47% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last three quarters, with an average year-over-year change of -9.44 percentage points over the last five quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2023, with a gain of 2008.44 percentage points; the weakest was Q1 2024, with a drop of 112.96 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -99.68% (Q1 2026), -56.29% (Q4 2025) and 18.75% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 24.87% |
| 10 | Starco Brands | 23.53 Mn | 27.36 Mn | 3.48 Mn | -101.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -101.11% |
| Mar 31, 2026 | -99.68% |
| Dec 31, 2025 | -56.29% |
| Sep 30, 2025 | 18.75% |
| Jun 30, 2025 | 5.33% |
| Mar 31, 2025 | -25.49% |
| Dec 31, 2024 | -35.33% |
| Mar 31, 2024 | -115.59% |
| Dec 31, 2023 | -99.60% |
| Sep 30, 2023 | -6.02% |
| Jun 30, 2023 | -11.57% |
| Mar 31, 2023 | -2.63% |
| Dec 31, 2022 | 5.57% |
| Sep 30, 2022 | -24.46% |
| Jun 30, 2022 | -2,020.01% |
Starco Brands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=STCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=STCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();