Gee (JOB) Depreciation and Depletion (2011 - 2021)
Gee (JOB) posted Depreciation and Depletion of -$135,000 for fiscal Q3 2021 (quarter ended Jun 30, 2021).
Analysis
Gee (JOB) Depreciation and Depletion (2011 - 2021) Analysis & Trends
For FY2017 (ended Sep 30, 2017), Gee's Depreciation and Depletion came in at $426,000, up 28.7% from FY2016.
- Annual Depreciation and Depletion has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 22.9% (FY2012 to FY2017).
- In prior fiscal years, Gee's Depreciation and Depletion was $331,000 in FY2016 (+88.1%), $176,000 in FY2015 (+1.1%), $174,000 in FY2014 (+5.5%) and $165,000 in FY2013 (+8.6%).
- The fiscal Q3 2021 figure stands as the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2012.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2016, with growth of 30.3%; the weakest was fiscal Q2 2018, with a decline of 49.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 21.00 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 | 25.15 Mn |
| 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, 2021 | -135,000.00 |
| Jun 30, 2018 | 92,000.00 |
| Mar 31, 2018 | 98,000.00 |
| Dec 31, 2017 | 97,000.00 |
| Sep 30, 2017 | 98,000.00 |
| Jun 30, 2017 | 178,000.00 |
| Mar 31, 2017 | 195,000.00 |
| Dec 31, 2016 | 79,000.00 |
| Sep 30, 2016 | 86,000.00 |
| Jun 30, 2016 | 328,000.00 |
| Mar 31, 2016 | 150,000.00 |
| Dec 31, 2015 | 66,000.00 |
| Sep 30, 2015 | 66,000.00 |
| Jun 30, 2015 | 32,000.00 |
| Mar 31, 2015 | 43,000.00 |
| Dec 31, 2014 | 37,000.00 |
| Sep 30, 2014 | 54,000.00 |
| Jun 30, 2014 | 38,000.00 |
| Mar 31, 2014 | 78,000.00 |
| Dec 31, 2013 | 44,000.00 |
API Access
Gee Depreciation and Depletion 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=depreciation-and-depletion&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();