Grocery Outlet Holding (GO) Other Operating Expenses (2018 - 2022)
Grocery Outlet Holding (GO) reported Other Operating Expenses of $82.52 million for Q4 2022, compared with -$74.6 million a year earlier.
Analysis
Grocery Outlet Holding (GO) Other Operating Expenses (2018 - 2022) Analysis & Trends
For FY2022, Grocery Outlet Holding posted Other Operating Expenses of -$70.45 million.
- By year, Other Operating Expenses came in at -$63.44 million in FY2021, $36.42 million in FY2019 (+93.9%) and $18.78 million in FY2018 (+44.5%).
- The Q4 2022 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn |
| 10 | Grocery Outlet Holding | 1.29 Bn | 1.03 Bn | 360.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 82.52 Mn |
| Apr 2, 2022 | -17.12 Mn |
| Jan 1, 2022 | -74.60 Mn |
| Oct 2, 2021 | 3.13 Mn |
| Jul 3, 2021 | 5.42 Mn |
| Apr 3, 2021 | 5.26 Mn |
| Sep 26, 2020 | 5.05 Mn |
| Jun 27, 2020 | 11.35 Mn |
| Mar 28, 2020 | 21.43 Mn |
| Dec 28, 2019 | 4.78 Mn |
| Sep 28, 2019 | 4.72 Mn |
| Jun 29, 2019 | 24.70 Mn |
| Mar 30, 2019 | 2.22 Mn |
| Dec 29, 2018 | 11.70 Mn |
| Sep 29, 2018 | 2.73 Mn |
| Jun 30, 2018 | 11.36 Mn |
API Access
Grocery Outlet Holding Other Operating Expenses 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=other-operating-expenses&ticker=GO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=GO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();