Borealis Foods (BRLS) EBITDA (2023 - 2026)
Borealis Foods (BRLS) recorded EBITDA of -$1.68 million in Q1 2026, compared with -$2.44 million a year earlier.
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Analysis
Borealis Foods (BRLS) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Borealis Foods' EBITDA came in at -$8.43 million as of Mar 31, 2026; for FY2025, it was -$9.19 million.
- Across earlier years, EBITDA came in at -$18.08 million in FY2024 and -$16.01 million in FY2023.
- Quarterly EBITDA has ranged from -$5.98 million in Q1 2024 to -$1.47 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2.4 million (Q4 2025), -$1.47 million (Q3 2025) and -$2.88 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 2.11 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 953.93 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.14 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Borealis Foods | 20.82 Mn | 19.92 Mn | 838,891.00 | -1.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.68 Mn |
| Dec 31, 2025 | -2.14 Mn |
| Sep 30, 2025 | -1.39 Mn |
| Jun 30, 2025 | -2.80 Mn |
| Mar 31, 2025 | -2.36 Mn |
| Dec 31, 2024 | -4.08 Mn |
| Sep 30, 2024 | -3.08 Mn |
| Jun 30, 2024 | -4.72 Mn |
| Mar 31, 2024 | -5.90 Mn |
| Dec 31, 2023 | -3.42 Mn |
| Sep 30, 2023 | -3.40 Mn |
| Jun 30, 2023 | -5.49 Mn |
| Mar 31, 2023 | -3.60 Mn |
API Access
Borealis Foods EBITDA 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=ebitda&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();