Borealis Foods (BRLS) Total Non-Current Liabilities (2021 - 2026)
Borealis Foods (BRLS) posted Total Non-Current Liabilities of $44.93 million for Q1 2026, up 1.0% from the prior quarter.
Analysis
Borealis Foods (BRLS) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Borealis Foods' Total Non-Current Liabilities came in at $44.51 million, down 16.2% from FY2024.
- In prior years, Borealis Foods' Total Non-Current Liabilities was $53.1 million in FY2024 (-39.1%) and $87.13 million in FY2023.
- The Q1 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 43.35 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 8.39 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 34.81 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Borealis Foods | 20.82 Mn | 19.92 Mn | 838,891.00 | 44.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 44.93 Mn |
| Dec 31, 2025 | 44.51 Mn |
| Dec 31, 2024 | 53.10 Mn |
| Dec 31, 2023 | 87.13 Mn |
| Mar 31, 2023 | -1,499.98 Bn |
| Dec 31, 2022 | -1,499.83 Bn |
| Sep 30, 2022 | -1,499.82 Bn |
| Jun 30, 2022 | 153.60 Mn |
| Mar 31, 2022 | -1,499.82 Bn |
| Dec 31, 2021 | 152.79 Mn |
API Access
Borealis Foods Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();