Borealis Foods (BRLS) Other Operating Expenses (2021 - 2025)
Borealis Foods (BRLS) recorded Other Operating Expenses of $607,037 in Q2 2025.
Analysis
Borealis Foods (BRLS) Other Operating Expenses (2021 - 2025) Analysis & Trends
For FY2023, Borealis Foods reported Other Operating Expenses of -$17.45 million.
- Across earlier years, Other Operating Expenses came in at $2.89 million in FY2022 (+573.8%) and $428,376 in FY2021.
- The Q2 2025 figure is the lowest quarterly Other Operating Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Borealis Foods | 29.62 Mn | 28.72 Mn | 838,891.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 607,037.00 |
| Sep 30, 2024 | 1.31 Mn |
| Dec 31, 2023 | -3.95 Mn |
| Sep 30, 2023 | 196,243.00 |
| Jun 30, 2023 | -4.71 Mn |
| Mar 31, 2023 | -3.06 Mn |
| Dec 31, 2022 | 746,085.00 |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 537,448.00 |
| Mar 31, 2022 | 565,542.00 |
| Dec 31, 2021 | 401,739.00 |
| Sep 30, 2021 | 7,929.00 |
| Mar 31, 2021 | 18,708.00 |
API Access
Borealis Foods Other Operating Expenses 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=other-operating-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();