B&G Foods (BGS) Payout Ratio (2011 - 2022)
B&G Foods' Payout Ratio was 9.97 in Q1 2022, up 27.8% from the prior quarter.
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Analysis
B&G Foods (BGS) Payout Ratio (2011 - 2022) Analysis & Trends
For FY2021, Payout Ratio at B&G Foods came in at 1.82.
- In earlier years, Payout Ratio was 1.17 in FY2019 (+108.9%), 0.56 in FY2018 (-32.9%) and 0.83 in FY2017 (-9.4%).
- The Q1 2022 figure marks the highest quarterly Payout Ratio in data going back to Q4 2011.
- The best year-over-year quarter for Payout Ratio over five years was Q4 2019 (growth of 126.1%); the worst was Q3 2019 (a decline of 62.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | B&G Foods | 171.67 Mn | -601.65 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 2, 2022 | 9.97 |
| Jan 1, 2022 | 7.80 |
| Apr 3, 2021 | 0.75 |
| Oct 3, 2020 | 0.80 |
| Jun 27, 2020 | 0.93 |
| Mar 28, 2020 | 1.17 |
| Dec 28, 2019 | 1.32 |
| Sep 28, 2019 | 0.57 |
| Jun 29, 2019 | 0.57 |
| Mar 30, 2019 | 0.60 |
| Dec 29, 2018 | 0.58 |
| Sep 29, 2018 | 1.52 |
| Jun 30, 2018 | 1.37 |
| Mar 31, 2018 | 1.05 |
| Dec 30, 2017 | 0.95 |
| Sep 30, 2017 | 0.90 |
| Jul 1, 2017 | 1.02 |
| Apr 1, 2017 | 1.02 |
| Dec 31, 2016 | 0.92 |
| Oct 1, 2016 | 0.89 |
API Access
B&G Foods Payout 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=payout-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-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=payout-ratio&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();