Barfresh Food (BRFH) Return on Capital Employed [ROCE] (2013 - 2026)
Barfresh Food (BRFH) posted Return on Capital Employed [ROCE] of -56.63% for Q2 2026, up 44.37 percentage points from -101.00% a year earlier.
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Analysis
Barfresh Food (BRFH) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2024, Barfresh Food's Return on Capital Employed [ROCE] came in at -191.51%, down 92.72 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -45.87 percentage points (FY2019 to FY2024).
- In prior years, Barfresh Food's Return on Capital Employed [ROCE] was -98.79% in FY2023 (+24.60 pp), -123.39% in FY2022 (-90.00 pp), -33.40% in FY2021 (+91.62 pp) and -125.02% in FY2020 (+20.62 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q2 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last six quarters, with an average year-over-year change of -27.32 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2024, with a gain of 230.73 percentage points; the weakest was Q2 2023, with a drop of 299.78 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 18.32% |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | - |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | 19.41% |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | 27.70% |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 5.24% |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 23.26% |
| 10 | Barfresh Food | 7.94 Mn | 3.58 Mn | -150,000.00 | -44.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -44.79% |
| Mar 31, 2026 | -38.80% |
| Sep 30, 2025 | -364.99% |
| Jun 30, 2025 | -101.00% |
| Mar 31, 2025 | -163.44% |
| Dec 31, 2024 | -298.71% |
| Sep 30, 2024 | -198.50% |
| Jun 30, 2024 | -105.07% |
| Mar 31, 2024 | -87.60% |
| Dec 31, 2023 | -135.07% |
| Sep 30, 2023 | -392.13% |
| Jun 30, 2023 | -335.80% |
| Mar 31, 2023 | -247.72% |
| Dec 31, 2022 | -178.36% |
| Sep 30, 2022 | -92.38% |
| Jun 30, 2022 | -36.02% |
| Mar 31, 2022 | -31.95% |
| Dec 31, 2021 | -23.55% |
| Sep 30, 2021 | -35.26% |
| Jun 30, 2021 | -50.06% |
API Access
Barfresh Food Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BRFH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BRFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();