Grocery Outlet Holding (GO) Price to Earnings (2019 - 2025)
Grocery Outlet Holding's (GO) Price to Earnings came in at 152.35 for Q2 2026, up 101.5% from the prior quarter.
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Analysis
Grocery Outlet Holding (GO) Price to Earnings (2019 - 2025) Analysis & Trends
For FY2024, Grocery Outlet Holding's Price to Earnings stood at 38.13, up 13.2% from FY2023.
- In prior years, Grocery Outlet Holding's Price to Earnings was 33.68 in FY2023 (-23.2%), 43.83 in FY2022 (+0.4%) and 43.64 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Price to Earnings in data going back to Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 960.94 Bn | 923.64 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 451.34 Bn | 374.62 Bn | 12.19 Bn |
| 3 | Sysco | 40.22 Bn | 34.47 Bn | 4.13 Bn |
| 4 | Kroger | 40.09 Bn | 26.25 Bn | 7.86 Bn |
| 5 | Dollar General | 30.69 Bn | 25.37 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.38 Bn | 24.37 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.59 Bn | 21.21 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.53 Bn | 22.33 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.12 Bn | 17.29 Bn | 1.68 Bn |
| 10 | Grocery Outlet Holding | 1.38 Bn | 1.12 Bn | 360.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | 152.35 |
| Mar 29, 2025 | 75.62 |
| Dec 28, 2024 | 38.13 |
| Sep 28, 2024 | 34.00 |
| Jun 29, 2024 | 40.45 |
| Mar 30, 2024 | 44.55 |
| Dec 30, 2023 | 33.68 |
| Sep 30, 2023 | 35.29 |
| Jul 1, 2023 | 42.24 |
| Apr 1, 2023 | 41.33 |
| Dec 31, 2022 | 43.83 |
| Oct 1, 2022 | 111.52 |
| Jul 2, 2022 | 146.95 |
| Apr 2, 2022 | 114.90 |
| Jan 1, 2022 | 76.52 |
| Oct 2, 2021 | 25.69 |
| Jul 3, 2021 | 32.18 |
| Apr 3, 2021 | 31.11 |
| Jan 2, 2021 | 34.89 |
| Sep 26, 2020 | 39.17 |
API Access
Grocery Outlet Holding 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=GO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=GO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();