B&G Foods (BGS) EV to CFO (2009 - 2026)
B&G Foods' EV to CFO was -2.93 in Q2 2027, compared with 1.92 a year earlier.
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Analysis
B&G Foods (BGS) EV to CFO (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, B&G Foods' EV to CFO was -4.97 through Jul 4, 2026; for FY2026, it came in at 2.76.
- In earlier years, EV to CFO was 3.90 in FY2024 (+23.2%), 3.17 in FY2023 (-97.5%) and 126.39 in FY2022 (+472.6%).
- The Q2 2027 figure marks the lowest quarterly EV to CFO in data going back to Q1 2015.
- Per Business Quant data, BGS's EV to CFO in the three quarters before Q2 2027 was 4.69 (Q1 2027), 2.76 (Q4 2026) and 3.39 (Q3 2026).
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 |
|---|---|
| Jul 4, 2026 | -23.17 |
| Apr 4, 2026 | 11.47 |
| Sep 27, 2025 | 3.39 |
| Jun 28, 2025 | 1.92 |
| Mar 29, 2025 | 3.15 |
| Dec 28, 2024 | 3.90 |
| Sep 28, 2024 | 4.80 |
| Jun 29, 2024 | 3.70 |
| Mar 30, 2024 | 4.04 |
| Dec 30, 2023 | 3.17 |
| Sep 30, 2023 | 1.99 |
| Jul 1, 2023 | 8.22 |
| Apr 1, 2023 | 21.60 |
| Dec 31, 2022 | 126.39 |
| Jan 1, 2022 | 33.25 |
| Apr 3, 2021 | 7.42 |
| Oct 3, 2020 | 6.32 |
| Jun 27, 2020 | 4.99 |
| Mar 28, 2020 | 17.68 |
| Dec 28, 2019 | 24.85 |
API Access
B&G Foods EV to CFO 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-cfo&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();