B&G Foods (BGS) EV to EBITDA (2009 - 2024)
B&G Foods' EV to EBITDA was -2.08 in Q2 2027.
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Analysis
B&G Foods (BGS) EV to EBITDA (2009 - 2024) Analysis & Trends
On a trailing twelve-month basis, B&G Foods' EV to EBITDA was -3.53 through Jul 4, 2026; for FY2026, it was 1.71.
- In earlier years, EV to EBITDA was 5.23 in FY2023 (+24.3%) and 4.21 in FY2022 (-43.4%).
- The Q2 2027 figure marks the lowest quarterly EV to EBITDA in data going back to Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | B&G Foods | 215.83 Mn | -558.32 Mn | 108.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2024 | 3.49 |
| Jun 29, 2024 | 8.30 |
| Mar 30, 2024 | 11.24 |
| Dec 30, 2023 | 4.98 |
| Sep 30, 2023 | 2.27 |
| Jul 1, 2023 | 4.60 |
| Apr 1, 2023 | 5.70 |
| Dec 31, 2022 | 4.10 |
| Oct 1, 2022 | 11.54 |
| Jul 2, 2022 | 8.06 |
| Apr 2, 2022 | 6.79 |
| Jan 1, 2022 | 7.14 |
| Apr 3, 2021 | 5.23 |
| Oct 3, 2020 | 5.09 |
| Jun 27, 2020 | 4.29 |
| Mar 28, 2020 | 3.36 |
| Dec 28, 2019 | 4.34 |
| Sep 28, 2019 | 2.44 |
| Jun 29, 2019 | 3.37 |
| Mar 30, 2019 | 4.08 |
API Access
B&G Foods EV to EBITDA 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=ev-to-ebitda&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();