BranchOut Food (BOF) Operating Expenses (2022 - 2026)
BranchOut Food's Operating Expenses came in at $2.66 million for Q2 2026, up 40.8% from $1.89 million a year earlier and up 31.8% from the prior quarter.
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Analysis
BranchOut Food (BOF) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BranchOut Food reported Operating Expenses of $8.89 million, up 62.7% year-over-year; for FY2025, it came in at $7.4 million, up 57.9% from FY2024.
- Operating Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 49.0% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $4.68 million in FY2024 (+37.5%), $3.41 million in FY2023 (+52.4%) and $2.24 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2022.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 51.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 127.4%), and the weakest in Q4 2024 (a decline of 18.4%).
- Business Quant data shows BOF's Operating Expenses at $2.02 million (Q1 2026), $2.21 million (Q4 2025) and $2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | BranchOut Food | 60.04 Mn | 57.48 Mn | 96,825.00 | 2.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Mn |
| Mar 31, 2026 | 2.02 Mn |
| Dec 31, 2025 | 2.21 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.18 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 975,174.00 |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 671,383.00 |
| Jun 30, 2023 | 735,474.00 |
| Mar 31, 2023 | 576,851.00 |
| Dec 31, 2022 | 625,519.00 |
| Sep 30, 2022 | 610,972.00 |
| Jun 30, 2022 | 554,748.00 |
API Access
BranchOut Food Operating 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=operating-expenses&ticker=BOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();