B&G Foods (BGS) Interest Coverage Ratio (2009 - 2026)
B&G Foods' (BGS) Interest Coverage Ratio stood at 5.02 in Q4 2016, up 36.1% from the prior quarter.
Analysis
B&G Foods (BGS) Interest Coverage Ratio (2009 - 2026) Analysis & Trends
For FY2016, B&G Foods' Interest Coverage Ratio came in at 3.37, up 35.2% from FY2015.
- Across earlier years, Interest Coverage Ratio came in at 2.49 in FY2015, 3.68 in FY2013 (+17.8%) and 3.13 in FY2012 (+1.0%).
- The Q4 2016 figure is the highest quarterly Interest Coverage Ratio in data going back to Q2 2011.
- Per Business Quant, the preceding three quarters came in at 3.69 (Q3 2016), 3.63 (Q2 2016) and 3.63 (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | - |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 4.17 |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 4.46 |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 3.17 |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.65 |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | B&G Foods | 215.83 Mn | -558.32 Mn | 108.94 Mn | 0.32 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 0.32 |
| Jul 4, 2026 | 0.90 |
| Apr 4, 2026 | -0.31 |
| Jan 3, 2026 | -7.89 |
| Sep 27, 2025 | 0.30 |
| Jun 28, 2025 | 0.62 |
| Mar 29, 2025 | 0.95 |
| Dec 28, 2024 | -6.48 |
| Sep 28, 2024 | 1.22 |
| Jun 29, 2024 | 1.16 |
| Mar 30, 2024 | -0.41 |
| Dec 30, 2023 | 1.03 |
| Sep 30, 2023 | -2.02 |
| Jul 1, 2023 | 1.37 |
| Apr 1, 2023 | 1.58 |
| Dec 31, 2022 | 1.82 |
| Oct 1, 2022 | -1.59 |
| Jul 2, 2022 | 0.90 |
| Apr 2, 2022 | 2.10 |
| Jan 1, 2022 | -1.25 |
API Access
B&G Foods Interest Coverage 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=interest-coverage-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-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=interest-coverage-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();