B&G Foods (BGS) Price to Book (2011 - 2026)
B&G Foods' Price to Book was 0.84 in Q2 2027, up 19.8% from 0.70 a year earlier but down 16.1% from the prior quarter.
Analysis
B&G Foods (BGS) Price to Book (2011 - 2026) Analysis & Trends
For FY2026, Price to Book at B&G Foods came in at 0.74.
- In earlier years, Price to Book was 1.07 in FY2024 (+8.2%), 0.99 in FY2023 (+7.4%) and 0.92 in FY2022 (-59.8%).
- Quarterly Price to Book has moved between 0.70 (Q2 2026) and 2.35 (Q3 2022) over five years.
- Per Business Quant data, BGS's Price to Book in the three quarters before Q2 2027 was 1.00 (Q1 2027), 0.74 (Q4 2026) and 0.75 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn |
| 10 | B&G Foods | 175.32 Mn | -597.99 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 0.84 |
| Apr 4, 2026 | 1.00 |
| Jan 3, 2026 | 0.74 |
| Sep 27, 2025 | 0.75 |
| Jun 28, 2025 | 0.70 |
| Mar 29, 2025 | 1.03 |
| Dec 28, 2024 | 1.07 |
| Sep 28, 2024 | 0.98 |
| Jun 29, 2024 | 0.84 |
| Mar 30, 2024 | 1.16 |
| Dec 30, 2023 | 0.99 |
| Sep 30, 2023 | 0.93 |
| Jul 1, 2023 | 1.16 |
| Apr 1, 2023 | 1.30 |
| Dec 31, 2022 | 0.92 |
| Oct 1, 2022 | 1.40 |
| Jul 2, 2022 | 1.84 |
| Apr 2, 2022 | 2.02 |
| Jan 1, 2022 | 2.29 |
| Oct 2, 2021 | 2.35 |
API Access
B&G Foods Price to Book 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-book&ticker=BGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=BGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();