Grocery Outlet Holding (GO) Price to Book (2019 - 2026)
Grocery Outlet Holding's Price to Book was 1.26 in Q2 2027, up 20.8% from 1.04 a year earlier and up 42.5% from the prior quarter.
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Analysis
Grocery Outlet Holding (GO) Price to Book (2019 - 2026) Analysis & Trends
For FY2026, Price to Book at Grocery Outlet Holding came in at 1.01.
- In earlier years, Price to Book was 1.26 in FY2024 (-42.7%), 2.19 in FY2023 (-14.6%) and 2.57 in FY2022 (-4.7%).
- Quarterly Price to Book has moved between 0.88 (Q1 2027) and 2.07 (Q3 2022) over five years.
- Per Business Quant data, GO's Price to Book in the three quarters before Q2 2027 was 0.88 (Q1 2027), 1.01 (Q4 2026) and 1.30 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn |
| 10 | Grocery Outlet Holding | 1.30 Bn | 1.05 Bn | 360.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.26 |
| Apr 4, 2026 | 0.88 |
| Jan 3, 2026 | 1.01 |
| Sep 27, 2025 | 1.30 |
| Jun 28, 2025 | 1.04 |
| Mar 29, 2025 | 1.10 |
| Dec 28, 2024 | 1.26 |
| Sep 28, 2024 | 1.42 |
| Jun 29, 2024 | 1.80 |
| Mar 30, 2024 | 2.35 |
| Dec 30, 2023 | 2.19 |
| Sep 30, 2023 | 2.38 |
| Jul 1, 2023 | 2.60 |
| Apr 1, 2023 | 2.46 |
| Dec 31, 2022 | 2.57 |
| Oct 1, 2022 | 2.98 |
| Jul 2, 2022 | 3.99 |
| Apr 2, 2022 | 3.17 |
| Jan 1, 2022 | 2.69 |
| Oct 2, 2021 | 2.07 |
API Access
Grocery Outlet Holding 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=GO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "GO", "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=GO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();