Borealis Foods (BRLS) Change in Accured Expenses (2021 - 2026)
Borealis Foods' Change in Accured Expenses was $1.32 million in Q1 2026, down 13.3% from $1.52 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Borealis Foods (BRLS) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Borealis Foods' Change in Accured Expenses was $4.32 million through Mar 31, 2026, down 25.7% year-over-year; for FY2025, it was $4.52 million, down 43.7% from FY2024.
- Change in Accured Expenses shows a four-year compound annual growth rate of 109.4% (FY2021 to FY2025).
- In earlier years, Change in Accured Expenses was $8.02 million in FY2024 (+268.4%), $2.18 million in FY2023 (+260.4%), $604,049 in FY2022 (+157.0%) and $235,051 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$682,040 (Q4 2022) and $3.73 million (Q1 2024) over five years.
- Compared with a year earlier, Change in Accured Expenses has declined for three straight quarters, with an average decline of 17.4% over the last five quarters.
- Per Business Quant data, BRLS's Change in Accured Expenses in the three quarters before Q1 2026 was $1.29 million (Q4 2025), $766,993 (Q3 2025) and $943,347 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | - |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Borealis Foods | 29.62 Mn | 28.72 Mn | 838,891.00 | 1.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.32 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 766,993.00 |
| Jun 30, 2025 | 943,347.00 |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 3.16 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | -376,406.00 |
| Mar 31, 2024 | 3.73 Mn |
| Dec 31, 2023 | -320,519.00 |
| Sep 30, 2023 | 776,431.00 |
| Jun 30, 2023 | 1.93 Mn |
| Mar 31, 2023 | -208,807.00 |
| Dec 31, 2022 | -682,040.00 |
| Sep 30, 2022 | 741,229.00 |
| Jun 30, 2022 | 238,759.00 |
| Mar 31, 2022 | 306,101.00 |
| Dec 31, 2021 | 169,817.00 |
| Sep 30, 2021 | 64,444.00 |
| Mar 31, 2021 | 790.00 |
API Access
Borealis Foods Change in Accured 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=change-in-accured-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BRLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();