Gee (JOB) Accumulated Expenses (2011 - 2018)
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.
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Analysis
Gee (JOB) Accumulated Expenses (2011 - 2018) 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 | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
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_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();