B&G Foods (BGS) EPS (Diluted) (2009 - 2026)
B&G Foods (BGS) recorded EPS (Diluted) of -$0.05 in Q2 2027, compared with -$0.12 a year earlier.
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Analysis
B&G Foods (BGS) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, B&G Foods' EPS (Diluted) came in at -$0.87 as of Jul 4, 2026; for FY2026, it was -$0.54.
- Across earlier years, EPS (Diluted) came in at -$3.18 in FY2024, -$0.89 in FY2023 and -$0.16 in FY2022.
- The Q2 2027 figure is the highest quarterly EPS (Diluted) since Q1 2026.
- Per Business Quant, the preceding three quarters came in at -$0.41 (Q1 2027), -$0.19 (Q4 2026) and -$0.24 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.02 |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 2.27 |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 0.46 |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 0.36 |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 0.20 |
| 10 | B&G Foods | 215.83 Mn | -558.32 Mn | 108.94 Mn | -0.40 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | -0.40 |
| Jul 4, 2026 | -0.05 |
| Apr 4, 2026 | -0.41 |
| Jan 3, 2026 | -0.19 |
| Sep 27, 2025 | -0.24 |
| Jun 28, 2025 | -0.12 |
| Mar 29, 2025 | 0.01 |
| Dec 28, 2024 | -2.81 |
| Sep 28, 2024 | 0.09 |
| Jun 29, 2024 | 0.05 |
| Mar 30, 2024 | -0.51 |
| Dec 30, 2023 | 0.03 |
| Sep 30, 2023 | -1.11 |
| Jul 1, 2023 | 0.15 |
| Apr 1, 2023 | 0.05 |
| Dec 31, 2022 | -1.19 |
| Oct 1, 2022 | -0.83 |
| Jul 2, 2022 | 0.00 |
| Apr 2, 2022 | 0.34 |
| Jan 1, 2022 | -0.80 |
API Access
B&G Foods EPS (Diluted) 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=eps-diluted&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();