B&G Foods (BGS) Asset Writedowns and Impairment (2014 - 2026)
B&G Foods' Asset Writedowns and Impairment was $60.8 million in FY2026.
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Analysis
B&G Foods (BGS) Asset Writedowns and Impairment (2014 - 2026) Analysis & Trends
From FY2015 onward, B&G Foods has reported Asset Writedowns and Impairment for 10 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 21.4% (FY2021 to FY2026).
- The FY2026 figure marks the lowest annual Asset Writedowns and Impairment since FY2023.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $320 million in FY2024, $20.5 million in FY2023 (-80.7%) and $106.43 million in FY2022 (+360.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.42 Bn | 95.87 Bn | - |
| 2 | Mondelez International | 81.91 Bn | 75.17 Bn | 3.99 Bn |
| 3 | Hershey | 34.17 Bn | 30.41 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.40 Bn | 15.81 Bn | 2.03 Bn |
| 5 | General Mills | 18.49 Bn | 16.14 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.88 Bn | 13.66 Bn | 979.60 Mn |
| 7 | Mccormick | 12.93 Bn | 12.00 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.25 Bn | 471.52 Mn |
| 9 | Chewy | 8.92 Bn | 6.21 Bn | 1.01 Bn |
| 10 | B&G Foods | 170.05 Mn | -603.27 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 4, 2026 | 172,000.00 |
| Jan 3, 2026 | 30.00 Mn |
| Sep 27, 2025 | 27.80 Mn |
| Mar 29, 2025 | 2.99 Mn |
| Dec 28, 2024 | 249.42 Mn |
| Sep 28, 2024 | 320.00 Mn |
| Jun 29, 2024 | -20,000.00 |
| Mar 30, 2024 | 70.60 Mn |
| Dec 30, 2023 | -112.45 Mn |
| Sep 30, 2023 | 132.95 Mn |
| Dec 31, 2022 | 2.81 Mn |
| Oct 1, 2022 | 103.63 Mn |
| Jun 27, 2020 | -63,000.00 |
| Mar 28, 2020 | 2,000.00 |
| Dec 28, 2019 | 8,000.00 |
| Sep 28, 2019 | 76,000.00 |
| Jun 29, 2019 | 12,000.00 |
| Mar 30, 2019 | 1,000.00 |
| Dec 29, 2018 | 832,000.00 |
| Sep 29, 2018 | 70,000.00 |
API Access
B&G Foods Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();