Borealis Foods (BRLS) Shares Outstanding (Entity) (2021 - 2026)
Borealis Foods' Shares Outstanding (Entity) came in at 21.46 million for Q1 2026, up 0.4% from 21.38 million a year earlier and unchanged from the prior quarter.
Borealis Foods (BRLS) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
Going back to Q1 2021, Borealis Foods' Shares Outstanding (Entity) data covers 20 quarters.
- Shares Outstanding (Entity) carries a four-year compound annual growth rate of 13.1% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 21.38 million in FY2024 (+17.8%), 18.15 million in FY2023 (-58.5%), 43.73 million in FY2022 (+233.3%) and 13.12 million in FY2021.
- The five-year range for quarterly Shares Outstanding (Entity) is 9.23 million (Q1 2022) to 43.73 million (Q4 2022).
- Year-over-year, Shares Outstanding (Entity) has increased for three consecutive quarters, with growth averaging 21.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q3 2022 (growth of 237.5%), and the weakest in Q3 2023 (a decline of 70.0%).
- Business Quant data shows BRLS's Shares Outstanding (Entity) at 21.46 million (Q4 2025), 21.46 million (Q3 2025) and 21.38 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 1.28 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 202.19 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 534.69 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 269.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 106.82 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 550.35 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 401.40 Mn |
| 10 | Borealis Foods | 28.33 Mn | 27.43 Mn | 838,891.00 | 21.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 21.46 Mn |
| Dec 31, 2025 | 21.46 Mn |
| Sep 30, 2025 | 21.46 Mn |
| Jun 30, 2025 | 21.38 Mn |
| Mar 31, 2025 | 21.38 Mn |
| Dec 31, 2024 | 21.38 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 | 13.12 Mn |
| Mar 31, 2023 | 12.26 Mn |
| Dec 31, 2022 | 43.73 Mn |
| Sep 30, 2022 | 43.73 Mn |
| Jun 30, 2022 | 9.23 Mn |
| Mar 31, 2022 | 9.23 Mn |
| Dec 31, 2021 | 13.12 Mn |
| Sep 30, 2021 | 12.96 Mn |
| Mar 31, 2021 | 4.61 Mn |
Borealis Foods Shares Outstanding (Entity) 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-entity&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();