B&G Foods (BGS) Gains from Sales and Divestitures (2015 - 2026)
B&G Foods (BGS) recorded Gains from Sales and Divestitures of -$36.28 million in Q1 2027, compared with -$881,000 a year earlier.
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Analysis
B&G Foods (BGS) Gains from Sales and Divestitures (2015 - 2026) Analysis & Trends
For FY2026, B&G Foods reported Gains from Sales and Divestitures of $2.87 million.
- Across earlier years, Gains from Sales and Divestitures came in at -$135,000 in FY2024, -$137.8 million in FY2023 and $7.09 million in FY2022.
- The Q1 2027 figure is the lowest quarterly Gains from Sales and Divestitures in data going back to Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.43 Bn | 98.30 Bn | - |
| 2 | Mondelez International | 81.43 Bn | 74.75 Bn | 3.99 Bn |
| 3 | Hershey | 34.30 Bn | 30.54 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.39 Bn | 15.92 Bn | 2.03 Bn |
| 5 | General Mills | 18.37 Bn | 16.03 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.89 Bn | 13.67 Bn | 979.60 Mn |
| 7 | Mccormick | 12.96 Bn | 12.61 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.27 Bn | 471.52 Mn |
| 9 | Chewy | 8.80 Bn | 6.09 Bn | 1.01 Bn |
| 10 | B&G Foods | 170.68 Mn | -602.63 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 4, 2026 | -36.28 Mn |
| Sep 27, 2025 | 15.51 Mn |
| Jun 28, 2025 | -12.65 Mn |
| Mar 29, 2025 | -881,000.00 |
| Sep 28, 2024 | 123,000.00 |
| Jun 29, 2024 | -158,000.00 |
| Mar 30, 2024 | -100,000.00 |
| Dec 30, 2023 | -137.02 Mn |
| Sep 30, 2023 | -598,000.00 |
| Jul 1, 2023 | -84,000.00 |
| Apr 1, 2023 | -93,000.00 |
| Dec 31, 2022 | -8,000.00 |
| Oct 1, 2022 | -19,000.00 |
| Apr 2, 2022 | 7.11 Mn |
| Jan 1, 2022 | -836,000.00 |
| Apr 3, 2021 | 26,000.00 |
| Jun 27, 2020 | 63,000.00 |
| Mar 28, 2020 | -2,000.00 |
| Dec 28, 2019 | -8,000.00 |
| Apr 1, 2017 | -1.61 Mn |
API Access
B&G Foods Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();