B&G Foods (BGS) Debt Ratio (2011 - 2026)
B&G Foods' (BGS) Debt Ratio stood at 0.75 in Q2 2027, up 10.8% from 0.68 a year earlier and up 6.2% from the prior quarter.
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Analysis
B&G Foods (BGS) Debt Ratio (2011 - 2026) Analysis & Trends
For FY2026, B&G Foods' Debt Ratio came in at 0.69.
- Across earlier years, Debt Ratio came in at 0.67 in FY2024 (+14.3%), 0.59 in FY2023 (-5.0%) and 0.62 in FY2022 (+5.0%).
- The Q2 2027 figure is the highest quarterly Debt Ratio in data going back to Q1 2015.
- Per Business Quant, the preceding three quarters came in at 0.71 (Q1 2027), 0.69 (Q4 2026) and 0.69 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 0.31 |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 0.30 |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 0.40 |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 0.26 |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 0.45 |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 0.42 |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 0.30 |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 0.21 |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 0.16 |
| 10 | B&G Foods | 171.67 Mn | -601.65 Mn | 79.64 Mn | 0.75 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.75 |
| Apr 4, 2026 | 0.71 |
| Jan 3, 2026 | 0.69 |
| Sep 27, 2025 | 0.69 |
| Jun 28, 2025 | 0.68 |
| Mar 29, 2025 | 0.68 |
| Dec 28, 2024 | 0.67 |
| Sep 28, 2024 | 0.61 |
| Jun 29, 2024 | 0.61 |
| Mar 30, 2024 | 0.61 |
| Dec 30, 2023 | 0.59 |
| Sep 30, 2023 | 0.63 |
| Jul 1, 2023 | 0.60 |
| Apr 1, 2023 | 0.61 |
| Dec 31, 2022 | 0.62 |
| Oct 1, 2022 | 0.61 |
| Jul 2, 2022 | 0.59 |
| Apr 2, 2022 | 0.59 |
| Jan 1, 2022 | 0.59 |
| Oct 2, 2021 | 0.61 |
API Access
B&G Foods Debt Ratio 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=debt-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();