Gee (JOB) Net Short-Term Debt Issued (Repaid) (2010 - 2020)
Gee (JOB) recorded Current Debt of -$11.83 million in FY2021 (year ended Sep 30, 2021), compared with -$2.39 million in FY2020.
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Analysis
Gee (JOB) Net Short-Term Debt Issued (Repaid) (2010 - 2020) Analysis & Trends
Starting with FY2013, Gee's Current Debt history includes 7 fiscal years.
- The FY2021 figure is the lowest annual Current Debt in data going back to FY2013.
- Per Business Quant data, JOB's Current Debt was -$2.39 million in FY2020 and $831,000 in FY2017 (-54.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (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 | 23.64 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 55.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 46.83 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 |
|---|---|
| Sep 30, 2020 | 3,000.00 |
| Jun 30, 2020 | -4.91 Mn |
| Mar 31, 2020 | 708,000.00 |
| Dec 31, 2019 | 92,000.00 |
| Sep 30, 2019 | 350,000.00 |
| Jun 30, 2019 | 2.72 Mn |
| Mar 31, 2019 | 1.22 Mn |
| Dec 31, 2018 | -107,000.00 |
| Sep 30, 2018 | 1.73 Mn |
| Jun 30, 2018 | 300,000.00 |
| Mar 31, 2018 | -100,000.00 |
| Dec 31, 2017 | 2.10 Mn |
| Sep 30, 2017 | -44.85 Mn |
| Jun 30, 2017 | 45.66 Mn |
| Mar 31, 2017 | -1.51 Mn |
| Dec 31, 2016 | 1.52 Mn |
| Sep 30, 2016 | -885,000.00 |
| Jun 30, 2016 | 1.02 Mn |
| Mar 31, 2016 | 306,000.00 |
| Dec 31, 2015 | 1.40 Mn |
API Access
Gee Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();