Borealis Foods (BRLS) Shares Outstanding (Diluted) (2021 - 2026)
Borealis Foods' Shares Outstanding (Diluted) came in at 21.43 million for Q1 2026, up 0.2% from 21.38 million a year earlier and unchanged from the prior quarter.
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Analysis
Borealis Foods (BRLS) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
Going back to Q3 2021, Borealis Foods' Shares Outstanding (Diluted) data covers 19 quarters.
- Shares Outstanding (Diluted) carries a four-year compound annual growth rate of 38.0% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 20.31 million in FY2024 (+11.9%), 18.15 million in FY2023 (-58.5%), 43.73 million in FY2022 (+640.2%) and 5.91 million in FY2021.
- The five-year range for quarterly Shares Outstanding (Diluted) is 4.61 million (Q2 2023) to 43.73 million (Q4 2022).
- Year-over-year, Shares Outstanding (Diluted) has increased for eight consecutive quarters, with growth averaging 58.7% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2022 (growth of 640.2%), and the weakest in Q2 2023 (a decline of 89.5%).
- Business Quant data shows BRLS's Shares Outstanding (Diluted) at 21.43 million (Q4 2025), 21.46 million (Q3 2025) and 21.41 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
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 | Borealis Foods | 29.62 Mn | 28.72 Mn | 838,891.00 | 21.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 21.43 Mn |
| Dec 31, 2025 | 21.43 Mn |
| Sep 30, 2025 | 21.46 Mn |
| Jun 30, 2025 | 21.41 Mn |
| Mar 31, 2025 | 21.38 Mn |
| Dec 31, 2024 | 20.31 Mn |
| Sep 30, 2024 | 21.38 Mn |
| Jun 30, 2024 | 21.38 Mn |
| Mar 31, 2024 | 17.08 Mn |
| Dec 31, 2023 | 18.15 Mn |
| Sep 30, 2023 | 13.12 Mn |
| Jun 30, 2023 | 4.61 Mn |
| Mar 31, 2023 | 33.75 Mn |
| Dec 31, 2022 | 43.73 Mn |
| Sep 30, 2022 | 43.73 Mn |
| Jun 30, 2022 | 43.73 Mn |
| Mar 31, 2022 | 43.73 Mn |
| Dec 31, 2021 | 5.91 Mn |
| Sep 30, 2021 | 16.40 Mn |
API Access
Borealis Foods 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=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BRLS", "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=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();