Barfresh Food (BRFH) Return on Sales [ROS] (2011 - 2026)
Barfresh Food (BRFH) reported Return on Sales [ROS] of -32.23% for Q2 2026, up 21.19 percentage points from -53.42% a year earlier.
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Analysis
Barfresh Food (BRFH) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Barfresh Food's Return on Sales [ROS] came in at -26.34%, up 0.34 percentage points year-over-year; for FY2025, it was -24.16%, up 1.72 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +139.78 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -25.87% in FY2024 (+8.78 pp), -34.65% in FY2023 (+33.23 pp), -67.88% in FY2022 (-36.61 pp) and -31.27% in FY2021 (+132.67 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -131.38% in Q4 2022 and a high of -6.15% in Q3 2025.
- Year over year, Return on Sales [ROS] gained in six of the last seven quarters, with an average year-over-year change of +6.63 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 187.54 percentage points); the low point was Q4 2022 (a drop of 113.57 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 34.92% |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | 13.96% |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 16.64% |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 27.38% |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 29.18% |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 23.89% |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 8.59% |
| 10 | Barfresh Food | 13.78 Mn | 10.52 Mn | -150,000.00 | -32.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.23% |
| Dec 31, 2025 | -28.88% |
| Sep 30, 2025 | -6.15% |
| Jun 30, 2025 | -53.42% |
| Mar 31, 2025 | -25.19% |
| Dec 31, 2024 | -29.56% |
| Sep 30, 2024 | -13.75% |
| Jun 30, 2024 | -68.65% |
| Mar 31, 2024 | -15.77% |
| Dec 31, 2023 | -36.21% |
| Sep 30, 2023 | -18.25% |
| Jun 30, 2023 | -49.11% |
| Mar 31, 2023 | -42.52% |
| Dec 31, 2022 | -131.38% |
| Sep 30, 2022 | -112.55% |
| Jun 30, 2022 | -26.33% |
| Mar 31, 2022 | -35.41% |
| Dec 31, 2021 | -17.81% |
| Sep 30, 2021 | -26.32% |
| Jun 30, 2021 | -46.27% |
API Access
Barfresh Food Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BRFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BRFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();