Gee (JOB) Restructuring Costs (2014 - 2019)
Gee's Restructuring Costs was $377,000 in fiscal Q1 2020 (quarter ended Dec 31, 2019), down 74.0% from $1.45 million a year earlier and down 70.8% from the prior quarter.
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Analysis
Gee (JOB) Restructuring Costs (2014 - 2019) Analysis & Trends
On a trailing twelve-month basis, Gee's Restructuring Costs was $2.82 million through Dec 31, 2019, down 19.9% year-over-year; for FY2019 (ended Sep 30, 2019), it came in at $4.28 million, up 38.5% from FY2018.
- Restructuring Costs has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 169.7% (FY2014 to FY2019).
- In earlier fiscal years, Restructuring Costs was $3.09 million in FY2018 (+5.7%), $2.93 million in FY2017 (+316.7%), $702,000 in FY2016 (+88.2%) and $373,000 in FY2015.
- The fiscal Q1 2020 figure marks the lowest quarterly Restructuring Costs since fiscal Q2 2018.
- Compared with a year earlier, Restructuring Costs was higher in four of the last seven quarters, with growth averaging 48.2%.
- The best year-over-year quarter for Restructuring Costs over five years was fiscal Q4 2017 (growth of 489.5%); the worst was fiscal Q1 2017 (a decline of 94.8%).
- Per Business Quant data, JOB's Restructuring Costs in the three fiscal quarters before Q1 2020 was $1.29 million (Q4 2019), $564,000 (Q3 2019) and $592,000 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 377,000.00 |
| Sep 30, 2019 | 1.29 Mn |
| Jun 30, 2019 | 564,000.00 |
| Mar 31, 2019 | 592,000.00 |
| Dec 31, 2018 | 1.45 Mn |
| Sep 30, 2018 | 1.38 Mn |
| Jun 30, 2018 | 514,000.00 |
| Mar 31, 2018 | 181,000.00 |
| Dec 31, 2017 | 40,000.00 |
| Sep 30, 2017 | 619,000.00 |
| Jun 30, 2017 | 2.21 Mn |
| Mar 31, 2017 | 77,000.00 |
| Dec 31, 2016 | 23,000.00 |
| Sep 30, 2016 | 105,000.00 |
| Jun 30, 2016 | 29,000.00 |
| Mar 31, 2016 | 122,000.00 |
| Dec 31, 2015 | 446,000.00 |
| Sep 30, 2015 | 343,000.00 |
| Dec 31, 2014 | 30,000.00 |
API Access
Gee Restructuring Costs 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=restructuring-costs&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();