Borealis Foods (BRLS) Convertible Debt (2021 - 2025)
Borealis Foods' Convertible Debt was $3 million in Q3 2025, unchanged from $3 million a year earlier and unchanged from the prior quarter.
Analysis
Borealis Foods (BRLS) Convertible Debt (2021 - 2025) Analysis & Trends
From Q4 2021 onward, Borealis Foods has reported Convertible Debt for 10 quarters.
- Convertible Debt shows a three-year compound annual growth rate of 0.0% (FY2021 to FY2024).
- In earlier years, Convertible Debt was $3 million in FY2023 (-37.5%), $4.8 million in FY2022 (+60.0%) and $3 million in FY2021.
- Quarterly Convertible Debt has moved between $3 million (Q4 2021) and $4.8 million (Q4 2022) over five years.
- Per Business Quant data, BRLS's Convertible Debt in the three quarters before Q3 2025 was $3 million (Q2 2025), $3 million (Q1 2025) and $3 million (Q4 2024).
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 |
|---|---|
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | 3.00 Mn |
API Access
Borealis Foods Convertible Debt 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=convertible-debt&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();