Borealis Foods (BRLS) Enterprise Value (2021 - 2026)
Borealis Foods (BRLS) reported Enterprise Value of $29.98 million for Q1 2026, down 78.4% from $139 million a year earlier and down 30.1% from the prior quarter.
Borealis Foods (BRLS) Enterprise Value (2021 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Borealis Foods' Enterprise Value came in at $29.58 million, down 78.0% year-over-year; for FY2025, it came in at $42.86 million, down 66.2% from FY2024.
- Enterprise Value has declined for three consecutive years, with a four-year compound annual growth rate of -24.0% (FY2021 to FY2025).
- By year, Enterprise Value came in at $126.77 million in FY2024 (-35.9%), $197.69 million in FY2023 (-55.7%), $446.53 million in FY2022 (+247.6%) and $128.48 million in FY2021.
- The Q1 2026 figure ranks as the lowest quarterly Enterprise Value in data going back to Q4 2021.
- Year over year, Enterprise Value has now declined in each of the last four quarters, with an average decline of 27.5% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q4 2022 (growth of 247.6%); the low point was Q1 2026 (a decline of 78.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $42.86 million (Q4 2025), $57.61 million (Q3 2025) and $78.05 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 29.98 Mn |
| Dec 31, 2025 | 42.86 Mn |
| Sep 30, 2025 | 57.61 Mn |
| Jun 30, 2025 | 78.05 Mn |
| Mar 31, 2025 | 139.00 Mn |
| Dec 31, 2024 | 126.77 Mn |
| Sep 30, 2024 | 121.57 Mn |
| Jun 30, 2024 | 192.27 Mn |
| Mar 31, 2024 | 91.70 Mn |
| Dec 31, 2023 | 197.69 Mn |
| Sep 30, 2023 | 144.82 Mn |
| Jun 30, 2023 | 140.55 Mn |
| Mar 31, 2023 | 115.73 Mn |
| Dec 31, 2022 | 446.53 Mn |
| Sep 30, 2022 | 441.54 Mn |
| Jun 30, 2022 | 91.71 Mn |
| Mar 31, 2022 | 92.78 Mn |
| Dec 31, 2021 | 128.48 Mn |
Borealis Foods Enterprise Value 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=enterprise-value&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();