B&G Foods (BGS) Other Operating Expenses (2024 - 2026)
B&G Foods' Other Operating Expenses came in at $263.24 million for Q2 2027, down 11.5% from $297.44 million a year earlier and down 5.4% from the prior quarter.
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Analysis
B&G Foods (BGS) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, B&G Foods reported Other Operating Expenses of $1.22 billion, down 6.3% year-over-year; for FY2026, it was $1.27 billion.
- Other Operating Expenses carries a four-year compound annual growth rate of -5.5% (FY2022 to FY2026).
- Going back by year, Other Operating Expenses was $1.35 billion in FY2024 (-6.9%), $1.45 billion in FY2023 (-8.5%) and $1.59 billion in FY2022.
- Business Quant data shows BGS's Other Operating Expenses at $278.4 million (Q1 2027), $374.94 million (Q4 2026) and $302.51 million (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | B&G Foods | 233.26 Mn | -540.05 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 263.24 Mn |
| Apr 4, 2026 | 278.40 Mn |
| Jan 3, 2026 | 374.94 Mn |
| Sep 27, 2025 | 302.51 Mn |
| Jun 28, 2025 | 297.44 Mn |
| Mar 29, 2025 | 292.98 Mn |
| Dec 28, 2024 | 390.27 Mn |
| Sep 28, 2024 | 320.85 Mn |
| Jun 29, 2024 | 314.41 Mn |
| Mar 30, 2024 | 327.29 Mn |
API Access
B&G Foods Other 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=other-operating-expenses&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();