Starco Brands (STCB) Shares Outstanding (Diluted) (2021 - 2026)
Starco Brands' Shares Outstanding (Diluted) came in at 784.19 million for Q2 2026, up 9.4% from 716.56 million a year earlier and unchanged from the prior quarter.
Starco Brands (STCB) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Starco Brands' Shares Outstanding (Diluted) was 733.61 million, up 17.4% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last four years, with a four-year compound annual growth rate of 46.5% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 625.13 million in FY2024 (+39.8%), 447.08 million in FY2023 (+131.7%), 192.93 million in FY2022 (+21.2%) and 159.14 million in FY2021.
- The five-year range for quarterly Shares Outstanding (Diluted) is 159.14 million (Q3 2021) to 873.26 million (Q3 2023).
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 14.4%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2023 (growth of 407.0%), and the weakest in Q3 2024 (a decline of 25.9%).
- Business Quant data shows STCB's Shares Outstanding (Diluted) at 784.19 million (Q1 2026), 733.61 million (Q4 2025) and 784.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.29 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 257.36 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 269.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Starco Brands | 23.53 Mn | 27.36 Mn | 3.48 Mn | 784.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 784.19 Mn |
| Mar 31, 2026 | 784.19 Mn |
| Dec 31, 2025 | 733.61 Mn |
| Sep 30, 2025 | 784.19 Mn |
| Jun 30, 2025 | 716.56 Mn |
| Mar 31, 2025 | 826.71 Mn |
| Dec 31, 2024 | 625.13 Mn |
| Sep 30, 2024 | 647.43 Mn |
| Jun 30, 2024 | 639.67 Mn |
| Mar 31, 2024 | 565.49 Mn |
| Dec 31, 2023 | 447.08 Mn |
| Sep 30, 2023 | 873.26 Mn |
| Jun 30, 2023 | 469.55 Mn |
| Mar 31, 2023 | 378.43 Mn |
| Dec 31, 2022 | 192.93 Mn |
| Sep 30, 2022 | 172.24 Mn |
| Jun 30, 2022 | 163.22 Mn |
| Mar 31, 2022 | 163.07 Mn |
| Dec 31, 2021 | 159.14 Mn |
| Sep 30, 2021 | 159.14 Mn |
Starco Brands Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=STCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=STCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();