Borealis Foods (BRLS) Depreciation & Amortization - Total (2023 - 2026)
Borealis Foods (BRLS) posted Depreciation & Amortization - Total of $386,000 for Q1 2026, down 19.8% from $481,000 a year earlier.
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Analysis
Borealis Foods (BRLS) Depreciation & Amortization - Total (2023 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Depreciation & Amortization - Total at Borealis Foods was $38.62 million; for FY2025, it came in at $38.72 million, up 0.3% from FY2024.
- In prior years, Borealis Foods' Depreciation & Amortization - Total was $38.6 million in FY2024 (+880.5%) and $3.94 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | - |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | - |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | Borealis Foods | 20.82 Mn | 19.92 Mn | 838,891.00 | 386,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 386,000.00 |
| Jun 30, 2025 | 38.24 Mn |
| Mar 31, 2025 | 481,000.00 |
| Mar 31, 2024 | 994,000.00 |
| Mar 31, 2023 | 962,000.00 |
API Access
Borealis Foods Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();