Gee (JOB) Other Operating Expenses (2010 - 2023)
Gee's Other Operating Expenses came in at $541,000 for fiscal Q3 2023 (quarter ended Jun 30, 2023), up 11.8% from $484,000 a year earlier but down 3.6% from the prior quarter.
Powered by 
Analysis
Gee (JOB) Other Operating Expenses (2010 - 2023) Analysis & Trends
For FY2016 (ended Sep 30, 2016), Gee's Other Operating Expenses was $1.58 million.
- The five-year range for quarterly Other Operating Expenses is $484,000 (fiscal Q2 2022) to $581,000 (fiscal Q1 2023).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 541,000.00 |
| Mar 31, 2023 | 561,000.00 |
| Dec 31, 2022 | 581,000.00 |
| Jun 30, 2022 | 484,000.00 |
| Mar 31, 2022 | 484,000.00 |
| Dec 31, 2021 | 518,000.00 |
| Mar 31, 2020 | -1.91 Mn |
| Dec 31, 2019 | 55.13 Mn |
| Mar 31, 2019 | 26.73 Mn |
| Dec 31, 2018 | 28.39 Mn |
| Mar 31, 2018 | 29.39 Mn |
| Dec 31, 2017 | 33.59 Mn |
| Mar 31, 2017 | 13.97 Mn |
| Dec 31, 2016 | 13.88 Mn |
| Sep 30, 2016 | 1.00 Mn |
| Jun 30, 2016 | 425,000.00 |
| Mar 31, 2016 | 156,000.00 |
| Dec 31, 2015 | 10.00 Mn |
| Jun 30, 2015 | 2.61 Mn |
| Mar 31, 2015 | 1.86 Mn |
API Access
Gee 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=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "JOB", "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=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();