Borealis Foods (BRLS) Raw Materials (2023 - 2026)
Borealis Foods (BRLS) reported Raw Materials of $3.27 million for Q1 2026, down 46.4% from $6.1 million a year earlier and down 16.8% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Raw Materials (2023 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods posted Raw Materials of $3.93 million, down 41.4% from FY2024.
- By year, Raw Materials came in at $6.71 million in FY2024 (+29.3%) and $5.19 million in FY2023.
- The Q1 2026 figure ranks as the lowest quarterly Raw Materials in data going back to Q4 2023.
- Year over year, Raw Materials gained in two of the last four quarters, with an average decline of 10.7%.
- Per Business Quant data, the three quarters before Q1 2026 came in at $3.93 million (Q4 2025), $4.47 million (Q3 2025) and $5.29 million (Q2 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | 3.93 Mn |
| Sep 30, 2025 | 4.47 Mn |
| Jun 30, 2025 | 5.29 Mn |
| Mar 31, 2025 | 6.10 Mn |
| Dec 31, 2024 | 6.71 Mn |
| Mar 31, 2024 | 5.26 Mn |
| Dec 31, 2023 | 5.19 Mn |
API Access
Borealis Foods Raw Materials 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=raw-materials&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();