Starco Brands (STCB) Accumulated Expenses (2011 - 2026)
Starco Brands (STCB) posted Accumulated Expenses of $150,000 for Q3 2021, unchanged from the prior quarter.
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Analysis
Starco Brands (STCB) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2012, Starco Brands' Accumulated Expenses came in at $1,650, down 84.9% from FY2011.
- In prior years, Starco Brands' Accumulated Expenses was $10,950 in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | Starco Brands | 15.68 Mn | 19.52 Mn | 3.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 806,549.00 |
| Mar 31, 2026 | 806,549.00 |
| Dec 31, 2025 | 487,599.00 |
| Sep 30, 2025 | 387,599.00 |
| Jun 30, 2025 | 387,599.00 |
| Mar 31, 2024 | 16,171.00 |
| Dec 31, 2023 | 5,681.00 |
| Sep 30, 2023 | 42,134.00 |
| Jun 30, 2023 | 5,682.00 |
| Mar 31, 2023 | 32,439.00 |
| Dec 31, 2022 | 6,960.00 |
| Jun 30, 2022 | 110,390.00 |
| Mar 31, 2022 | 74,347.00 |
| Dec 31, 2021 | 202,023.00 |
| Sep 30, 2021 | 150,000.00 |
| Jun 30, 2021 | 150,000.00 |
| Mar 31, 2021 | 5,299.00 |
| Dec 31, 2020 | 6,346.00 |
| Sep 30, 2020 | 1,602.00 |
| Jun 30, 2020 | 584.00 |
API Access
Starco Brands Accumulated 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=accumulated-expenses&ticker=STCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();