Borealis Foods (BRLS) Asset Utilization Ratio (2023 - 2026)
Borealis Foods' (BRLS) Asset Utilization Ratio stood at 0.62 in Q1 2026, up 31.6% from 0.47 a year earlier and up 7.0% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For FY2025, Borealis Foods' Asset Utilization Ratio came in at 0.56, up 20.9% from FY2024.
- Across earlier years, Asset Utilization Ratio came in at 0.46 in FY2024 (+80.8%) and 0.26 in FY2023.
- The Q1 2026 figure is the highest quarterly Asset Utilization Ratio since Q4 2023.
- On a year-over-year basis, Asset Utilization Ratio has increased for five consecutive quarters, with growth averaging 8.0% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at 0.58 (Q4 2025), 0.51 (Q3 2025) and 0.52 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 0.75 |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 0.56 |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 0.87 |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 0.32 |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 0.61 |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 0.45 |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 0.56 |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 0.91 |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.71 |
| 10 | Borealis Foods | 27.47 Mn | 26.57 Mn | 838,891.00 | 0.62 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.62 |
| Dec 31, 2025 | 0.58 |
| Sep 30, 2025 | 0.51 |
| Jun 30, 2025 | 0.52 |
| Mar 31, 2025 | 0.47 |
| Dec 31, 2024 | 0.48 |
| Sep 30, 2024 | 0.47 |
| Jun 30, 2024 | 0.44 |
| Mar 31, 2024 | 0.46 |
| Dec 31, 2023 | 0.72 |
API Access
Borealis Foods Asset Utilization Ratio 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=asset-utilization-ratio&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();