B&G Foods (BGS) Price to Earnings (2011 - 2022)
B&G Foods' (BGS) Price to Earnings was 147.30 for Q1 2022, up 10.3% from the prior quarter.
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Analysis
B&G Foods (BGS) Price to Earnings (2011 - 2022) Analysis & Trends
For FY2021, Price to Earnings at B&G Foods was 31.26.
- By year, Price to Earnings came in at 11.04 in FY2019 (+24.8%), 8.85 in FY2018 (-44.0%) and 15.79 in FY2017 (-40.6%).
- The Q1 2022 figure ranks as the highest quarterly Price to Earnings in data going back to Q1 2011.
- The high point for year-over-year Price to Earnings in five years was Q3 2018 (growth of 39.6%); the low point was Q3 2019 (a decline of 74.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.36 Bn | 95.82 Bn | - |
| 2 | Mondelez International | 81.61 Bn | 74.88 Bn | 3.99 Bn |
| 3 | Hershey | 34.34 Bn | 30.58 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.34 Bn | 15.75 Bn | 2.03 Bn |
| 5 | General Mills | 18.47 Bn | 16.11 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.84 Bn | 13.62 Bn | 979.60 Mn |
| 7 | Mccormick | 12.85 Bn | 11.92 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.58 Bn | 8.24 Bn | 471.52 Mn |
| 9 | Chewy | 8.93 Bn | 6.22 Bn | 1.01 Bn |
| 10 | B&G Foods | 165.36 Mn | -607.96 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 2, 2022 | 147.30 |
| Jan 1, 2022 | 133.49 |
| Oct 2, 2021 | 13.73 |
| Jul 3, 2021 | 12.69 |
| Apr 3, 2021 | 12.10 |
| Oct 3, 2020 | 11.93 |
| Jun 27, 2020 | 11.86 |
| Mar 28, 2020 | 10.28 |
| Dec 28, 2019 | 12.48 |
| Sep 28, 2019 | 5.65 |
| Jun 29, 2019 | 6.20 |
| Mar 30, 2019 | 7.62 |
| Dec 29, 2018 | 9.24 |
| Sep 29, 2018 | 22.10 |
| Jun 30, 2018 | 21.76 |
| Mar 31, 2018 | 13.43 |
| Dec 30, 2017 | 18.01 |
| Sep 30, 2017 | 15.83 |
| Jul 1, 2017 | 20.83 |
| Apr 1, 2017 | 24.55 |
API Access
B&G Foods Price to Earnings 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=price-to-earnings&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();