BranchOut Food (BOF) Return on Sales [ROS] (2022 - 2026)
BranchOut Food's Return on Sales [ROS] came in at -57.54% for Q2 2026, down 17.58 percentage points from -39.96% a year earlier but up 4.57 percentage points from the prior quarter.
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Analysis
BranchOut Food (BOF) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BranchOut Food reported Return on Sales [ROS] of -52.60%, down 12.75 percentage points year-over-year; for FY2025, it was -39.08%, up 21.57 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a three-year change of +280.80 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -60.65% in FY2024 (+63.28 pp), -123.93% in FY2023 (+195.95 pp) and -319.88% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -2436.51% (Q4 2022) to -20.35% (Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +11.70 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 2338.92 percentage points), and the weakest in Q1 2026 (a drop of 41.77 percentage points).
- Business Quant data shows BOF's Return on Sales [ROS] at -62.11% (Q1 2026), -47.55% (Q4 2025) and -44.33% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | BranchOut Food | 59.58 Mn | 57.02 Mn | 96,825.00 | -57.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -57.54% |
| Mar 31, 2026 | -62.11% |
| Dec 31, 2025 | -47.55% |
| Sep 30, 2025 | -44.33% |
| Jun 30, 2025 | -39.96% |
| Mar 31, 2025 | -20.35% |
| Dec 31, 2024 | -80.66% |
| Sep 30, 2024 | -41.40% |
| Jun 30, 2024 | -60.63% |
| Mar 31, 2024 | -69.88% |
| Dec 31, 2023 | -97.59% |
| Sep 30, 2023 | -77.07% |
| Jun 30, 2023 | -219.75% |
| Mar 31, 2023 | -623.07% |
| Dec 31, 2022 | -2,436.51% |
| Sep 30, 2022 | -330.83% |
| Jun 30, 2022 | -220.30% |
API Access
BranchOut 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=BOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BOF", "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=BOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();