Barfresh Food (BRFH) Other Accumulated Expenses (2011 - 2026)
Barfresh Food's Other Accumulated Expenses came in at $1.82 million for Q2 2026.
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Analysis
Barfresh Food (BRFH) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Barfresh Food's Other Accumulated Expenses was $2.43 million.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 104.1% (FY2020 to FY2025).
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses since Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | Barfresh Food | 13.78 Mn | 10.52 Mn | -150,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.82 Mn |
| Dec 31, 2025 | 2.43 Mn |
| Sep 30, 2021 | 33,600.00 |
| Jun 30, 2021 | 33,600.00 |
| Mar 31, 2021 | 240,047.00 |
| Dec 31, 2020 | 68,627.00 |
| Sep 30, 2020 | 12,335.00 |
| Dec 31, 2019 | 487,978.00 |
| Sep 30, 2019 | 292,161.00 |
| Jun 30, 2019 | 244,240.00 |
| Mar 31, 2019 | 196,842.00 |
| Mar 31, 2014 | 1,866.00 |
| Dec 31, 2011 | 14,633.00 |
| Sep 30, 2011 | 12,411.00 |
| Jun 30, 2011 | 10,189.00 |
| Mar 31, 2011 | 7,991.00 |
API Access
Barfresh Food Other Accumulated 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-accumulated-expenses&ticker=BRFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BRFH", "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-accumulated-expenses&ticker=BRFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();