Borealis Foods (BRLS) Finished Goods (2023 - 2026)
Borealis Foods (BRLS) posted Finished Goods of $408,058 for Q1 2026, down 83.1% from $2.42 million a year earlier and down 50.7% from the prior quarter.
Borealis Foods (BRLS) Finished Goods (2023 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods' Finished Goods came in at $827,381, down 62.8% from FY2024.
- In prior years, Borealis Foods' Finished Goods was $2.23 million in FY2024 (+14.6%) and $1.94 million in FY2023.
- The Q1 2026 figure stands as the lowest quarterly Finished Goods in data going back to Q4 2023.
- On a year-over-year basis, Finished Goods increased in two of the last four quarters, with an average decline of 23.8%.
- According to Business Quant data, Finished Goods for the three prior quarters was $827,381 (Q4 2025), $1.72 million (Q3 2025) and $2 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 | 408,058.00 |
| Dec 31, 2025 | 827,381.00 |
| Sep 30, 2025 | 1.72 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 2.42 Mn |
| Dec 31, 2024 | 2.23 Mn |
| Mar 31, 2024 | 1.77 Mn |
| Dec 31, 2023 | 1.94 Mn |
Borealis Foods Finished Goods 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=finished-goods&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();