Gee JOB
NYSE JOB
$6.39 +0.69 (+12.11%)
As of: Nov 11, 2026 · 2:42 PM EST

Gee (JOB) Accumulated Expenses (2009 - 2024)

Updated

Gee (JOB) reported Accumulated Expenses of $1.51 million for fiscal Q3 2018 (quarter ended Jun 30, 2018), down 11.2% from $1.7 million a year earlier but up 31.2% from the prior quarter.

Analysis

Gee (JOB) Accumulated Expenses (2009 - 2024) Analysis & Trends

At the end of FY2017 (ended Sep 30, 2017), Gee posted Accumulated Expenses of $2.18 million.

  • Accumulated Expenses has a five-year compound annual growth rate of 50.5% (FY2012 to FY2017).
  • By fiscal year, Accumulated Expenses came in at $54,000 in FY2016 (-77.7%), $242,000 in FY2015 (+39.1%), $174,000 in FY2014 (-32.0%) and $256,000 in FY2013 (-9.2%).
  • Five-year quarterly Accumulated Expenses spans a low of $54,000 in fiscal Q4 2016 and a high of $2.18 million in fiscal Q4 2017.
  • Per Business Quant data, the three fiscal quarters before Q3 2018 came in at $1.15 million (Q2 2018), $2 million (Q1 2018) and $2.18 million (Q4 2017).
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

Historic Data

Download Data
DateValue
Sep 30, 2024 446,000.00
Sep 30, 2023 417,000.00
Jun 30, 2018 1.51 Mn
Mar 31, 2018 1.15 Mn
Dec 31, 2017 2.00 Mn
Sep 30, 2017 2.18 Mn
Jun 30, 2017 1.70 Mn
Sep 30, 2016 54,000.00
Sep 30, 2015 242,000.00
Sep 30, 2014 174,000.00
Sep 30, 2013 256,000.00
Sep 30, 2012 282,000.00
Sep 30, 2011 201,000.00
Sep 30, 2009 113,000.00
API Access

Gee Accumulated 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=accumulated-expenses&ticker=JOB&period=max&api_key=YOUR_API_KEY