BranchOut Food (BOF) Selling, General & Administrative (2022 - 2026)
BranchOut Food's Selling, General & Administrative was $1.17 million in Q2 2026, up 37.8% from $846,662 a year earlier and up 35.8% from the prior quarter.
BranchOut Food (BOF) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, BranchOut Food's Selling, General & Administrative was $4.2 million through Jun 30, 2026, up 112.1% year-over-year; for FY2025, it was $3.49 million, up 216.8% from FY2024.
- Selling, General & Administrative shows a three-year compound annual growth rate of 55.3% (FY2022 to FY2025).
- In earlier years, Selling, General & Administrative was $1.1 million in FY2024 (-30.4%), $1.58 million in FY2023 (+70.1%) and $929,726 in FY2022.
- Quarterly Selling, General & Administrative has moved between $141,031 (Q2 2023) and $1.28 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for six straight quarters, with growth averaging 115.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 459.2%); the worst was Q4 2024 (a decline of 57.9%).
- Per Business Quant data, BOF's Selling, General & Administrative in the three quarters before Q2 2026 was $859,220 (Q1 2026), $1.28 million (Q4 2025) and $897,512 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 441.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 704.40 Mn |
| 10 | BranchOut Food | 58.51 Mn | 55.95 Mn | 96,825.00 | 1.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 859,220.00 |
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 897,512.00 |
| Jun 30, 2025 | 846,662.00 |
| Mar 31, 2025 | 385,639.00 |
| Dec 31, 2024 | 433,445.00 |
| Sep 30, 2024 | 316,688.00 |
| Jun 30, 2024 | 175,758.00 |
| Mar 31, 2024 | 319,736.00 |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 230,459.00 |
| Jun 30, 2023 | 141,031.00 |
| Mar 31, 2023 | 180,900.00 |
| Dec 31, 2022 | 184,040.00 |
| Sep 30, 2022 | 351,110.00 |
| Jun 30, 2022 | 212,540.00 |
BranchOut Food Selling, General & Administrative 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=selling-general-and-administrative&ticker=BOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();