Borealis Foods (BRLS) Non-Current Assets (2021 - 2026)
Borealis Foods' Non-Current Assets came in at $44.12 million for Q1 2026, down 7.7% from $47.83 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods' Non-Current Assets was $44.52 million, down 7.7% from FY2024.
- Non-Current Assets has declined in each of the last three years, with a four-year compound annual growth rate of -29.1% (FY2021 to FY2025).
- Going back by year, Non-Current Assets was $48.21 million in FY2024 (-0.8%), $48.6 million in FY2023 (-72.8%), $178.53 million in FY2022 (+1.4%) and $176.05 million in FY2021.
- The Q1 2026 figure represents the lowest quarterly Non-Current Assets since Q3 2023.
- Year-over-year, Non-Current Assets has declined for six consecutive quarters, with growth averaging 29.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2024 (growth of 131.9%), and the weakest in Q1 2023 (a decline of 88.2%).
- Business Quant data shows BRLS's Non-Current Assets at $44.52 million (Q4 2025), $46.83 million (Q3 2025) and $47.34 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 64.56 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 58.31 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 10.02 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 63.81 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 25.39 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 13.69 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 14.21 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 9.77 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 1.90 Bn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 44.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 44.12 Mn |
| Dec 31, 2025 | 44.52 Mn |
| Sep 30, 2025 | 46.83 Mn |
| Jun 30, 2025 | 47.34 Mn |
| Mar 31, 2025 | 47.83 Mn |
| Dec 31, 2024 | 48.21 Mn |
| Sep 30, 2024 | 48.48 Mn |
| Jun 30, 2024 | 48.45 Mn |
| Mar 31, 2024 | 48.15 Mn |
| Dec 31, 2023 | 48.60 Mn |
| Sep 30, 2023 | 21.53 Mn |
| Jun 30, 2023 | 21.13 Mn |
| Mar 31, 2023 | 20.77 Mn |
| Dec 31, 2022 | 178.53 Mn |
| Sep 30, 2022 | 177.01 Mn |
| Jun 30, 2022 | 176.22 Mn |
| Mar 31, 2022 | 175.99 Mn |
| Dec 31, 2021 | 176.05 Mn |
| Sep 30, 2021 | 175.95 Mn |
API Access
Borealis Foods Non-Current Assets 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=non-current-assets&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();