Gee (JOB) Long-Term Debt Repayments (2013 - 2025)
Gee (JOB) reported Long-Term Debt Repayments of $17,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), up 6.3% from $16,000 a year earlier and unchanged from the prior quarter.
Gee (JOB) Long-Term Debt Repayments (2013 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's Long-Term Debt Repayments came in at $68,000, down 63.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $67,000, down 68.4% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -33.1% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $212,000 in FY2024 (+9.3%), $194,000 in FY2023 (+16.2%), $167,000 in FY2022 (-99.6%) and $44.19 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $11,000 in fiscal Q3 2025 and a high of $44.19 million in fiscal Q3 2021.
- Year over year, Long-Term Debt Repayments gained in two of the last eight quarters, with an average decline of 22.3%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q4 2024 (growth of 109.8%); the low point was fiscal Q3 2022 (a decline of 99.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $17,000 (Q4 2025), $11,000 (Q3 2025) and $23,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.88 Bn | 112.16 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.83 Bn | 88.91 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.38 Bn | 31.57 Bn | 1.07 Bn | 6.75 Bn |
| 4 | Rollins | 17.05 Bn | 16.60 Bn | 569.95 Mn | - |
| 5 | APi | 16.98 Bn | 14.01 Bn | 703.00 Mn | 302.00 Mn |
| 6 | Gartner | 15.22 Bn | 8.91 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 15.03 Bn | 13.79 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 13.95 Bn | 11.90 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | Gee | 22.63 Mn | 22.63 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2019 | 500,000.00 |
| Sep 30, 2019 | 551,000.00 |
Gee Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();