Gee (JOB) Total Non-Current Liabilities (2010 - 2025)
Gee (JOB) recorded Total Non-Current Liabilities of $8.97 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 1.3% from $9.09 million a year earlier and down 10.1% from the prior quarter.
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Analysis
Gee (JOB) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee reported Total Non-Current Liabilities of $9.98 million, down 14.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for five straight fiscal years, with a five-year compound annual growth rate of -33.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $11.61 million in FY2024 (-16.8%), $13.95 million in FY2023 (-22.5%), $18 million in FY2022 (-51.1%) and $36.82 million in FY2021 (-50.6%).
- The fiscal Q1 2026 figure is the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2022.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 12.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 320.6% in fiscal Q2 2023, against a decline of 94.8% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.98 million (Q4 2025), $10.14 million (Q3 2025) and $11.09 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.97 Mn |
| Sep 30, 2025 | 9.98 Mn |
| Jun 30, 2025 | 10.14 Mn |
| Mar 31, 2025 | 11.09 Mn |
| Dec 31, 2024 | 9.09 Mn |
| Sep 30, 2024 | 11.61 Mn |
| Jun 30, 2024 | 10.41 Mn |
| Mar 31, 2024 | 11.37 Mn |
| Dec 31, 2023 | 11.11 Mn |
| Sep 30, 2023 | 13.95 Mn |
| Jun 30, 2023 | 12.90 Mn |
| Mar 31, 2023 | 14.84 Mn |
| Dec 31, 2022 | 13.62 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 16.17 Mn |
| Mar 31, 2022 | 3.53 Mn |
| Dec 31, 2021 | 3.71 Mn |
| Sep 30, 2021 | 36.82 Mn |
| Jun 30, 2021 | 12.21 Mn |
| Mar 31, 2021 | 68.30 Mn |
API Access
Gee Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();