Gee (JOB) Net Long-Term Debt Issued (Repaid) (2013 - 2026)
Gee (JOB) recorded Non-Current Debt of $196,000 in fiscal Q1 2026 (quarter ended Dec 31, 2025), unchanged from the prior quarter.
Analysis
Gee (JOB) Net Long-Term Debt Issued (Repaid) (2013 - 2026) Analysis & Trends
Starting with fiscal Q4 2015, Gee's Non-Current Debt history includes 26 quarters.
- Annual Non-Current Debt has a five-year compound annual growth rate of -56.0% (FY2020 to FY2025).
- Quarterly Non-Current Debt has ranged from $16,000 in fiscal Q3 2021 to $11.83 million in fiscal Q2 2021 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 4.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 570.11 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | -7.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 463.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | -9.27 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 | 86,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86,000.00 |
| Mar 31, 2026 | -17,000.00 |
| Dec 31, 2025 | -17,000.00 |
| Sep 30, 2025 | -17,000.00 |
| Jun 30, 2025 | -11,000.00 |
| Mar 31, 2025 | -23,000.00 |
| Dec 31, 2024 | -16,000.00 |
| Sep 30, 2024 | -86,000.00 |
| Jun 30, 2024 | -45,000.00 |
| Mar 31, 2024 | -40,000.00 |
| Dec 31, 2023 | -41,000.00 |
| Sep 30, 2023 | -41,000.00 |
| Jun 30, 2023 | -49,000.00 |
| Mar 31, 2023 | -55,000.00 |
| Dec 31, 2022 | -49,000.00 |
| Sep 30, 2022 | -54,000.00 |
| Jun 30, 2022 | -40,000.00 |
| Jun 30, 2021 | -44.19 Mn |
| Jun 30, 2020 | -173,000.00 |
| Mar 31, 2020 | 173,000.00 |
API Access
Gee Net Long-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=non-current-debt&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();