Gee (JOB) Total Liabilities (2010 - 2025)
Gee (JOB) recorded Total Liabilities of $8.97 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 2.0% from $9.15 million a year earlier and down 10.2% from the prior quarter.
Powered by 
Analysis
Gee (JOB) Total Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee reported Total Liabilities of $9.99 million, down 14.6% from FY2024.
- Annual Total Liabilities has declined for six straight fiscal years, with a five-year compound annual growth rate of -35.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $11.69 million in FY2024 (-18.3%), $14.31 million in FY2023 (-22.9%), $18.55 million in FY2022 (-49.6%) and $36.82 million in FY2021 (-60.3%).
- The fiscal Q1 2026 figure is the lowest quarterly Total Liabilities since fiscal Q4 2015.
- On a year-over-year basis, Total Liabilities has declined for 23 consecutive quarters, with an average decline of 13.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 2.0% in fiscal Q1 2026 to 82.2% in fiscal Q2 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $9.99 million (Q4 2025), $10.17 million (Q3 2025) and $11.13 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 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 | 9.99 Mn |
| Jun 30, 2025 | 10.17 Mn |
| Mar 31, 2025 | 11.13 Mn |
| Dec 31, 2024 | 9.15 Mn |
| Sep 30, 2024 | 11.69 Mn |
| Jun 30, 2024 | 10.55 Mn |
| Mar 31, 2024 | 11.54 Mn |
| Dec 31, 2023 | 11.30 Mn |
| Sep 30, 2023 | 14.31 Mn |
| Jun 30, 2023 | 13.30 Mn |
| Mar 31, 2023 | 15.29 Mn |
| Dec 31, 2022 | 14.13 Mn |
| Sep 30, 2022 | 18.55 Mn |
| Jun 30, 2022 | 16.17 Mn |
| Mar 31, 2022 | 16.80 Mn |
| Dec 31, 2021 | 17.35 Mn |
| Sep 30, 2021 | 36.82 Mn |
| Jun 30, 2021 | 35.62 Mn |
| Mar 31, 2021 | 94.31 Mn |
API Access
Gee Total 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-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();