Borealis Foods (BRLS) Operating Expenses (2021 - 2026)
Borealis Foods (BRLS) recorded Operating Expenses of $3.29 million in Q1 2026, down 23.5% from $4.3 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Borealis Foods' Operating Expenses came in at $52.25 million as of Mar 31, 2026, up 165.6% year-over-year; for FY2025, it came in at $53.26 million, down 13.0% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 233.9% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $61.2 million in FY2024, $5.13 million in FY2023 (+77.8%), $2.89 million in FY2022 (+573.8%) and $428,376 in FY2021.
- Quarterly Operating Expenses has ranged from $7,929 in Q3 2021 to $42.11 million in Q2 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 233.5% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 703.6% in Q2 2024, against a decline of 47.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.89 million (Q4 2025), $2.97 million (Q3 2025) and $42.11 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 3.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.29 Mn |
| Dec 31, 2025 | 3.89 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 42.11 Mn |
| Mar 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 4.87 Mn |
| Sep 30, 2024 | 4.89 Mn |
| Jun 30, 2024 | 5.61 Mn |
| Mar 31, 2024 | 8.21 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 698,329.00 |
| Mar 31, 2023 | 2.12 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 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=operating-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();