Gee (JOB) Total Current Liabilities (2010 - 2025)
Gee (JOB) recorded Total Current Liabilities of $5.54 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 21.2% from $7.03 million a year earlier and down 27.9% from the prior quarter.
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Analysis
Gee (JOB) Total Current Liabilities (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee reported Total Current Liabilities of $7.69 million, down 17.5% from FY2024.
- Annual Total Current Liabilities has declined for four straight fiscal years, with a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $9.32 million in FY2024 (-18.8%), $11.48 million in FY2023 (-26.3%), $15.58 million in FY2022 (-50.0%) and $31.16 million in FY2021 (+71.5%).
- The fiscal Q1 2026 figure is the lowest quarterly Total Current Liabilities since fiscal Q3 2011.
- On a year-over-year basis, Total Current Liabilities has declined for 17 consecutive quarters, with an average decline of 16.7% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 122.2% in fiscal Q2 2021, against a decline of 50.0% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.69 million (Q4 2025), $7.57 million (Q3 2025) and $8.36 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.54 Mn |
| Sep 30, 2025 | 7.69 Mn |
| Jun 30, 2025 | 7.57 Mn |
| Mar 31, 2025 | 8.36 Mn |
| Dec 31, 2024 | 7.03 Mn |
| Sep 30, 2024 | 9.32 Mn |
| Jun 30, 2024 | 8.61 Mn |
| Mar 31, 2024 | 9.37 Mn |
| Dec 31, 2023 | 8.93 Mn |
| Sep 30, 2023 | 11.48 Mn |
| Jun 30, 2023 | 10.08 Mn |
| Mar 31, 2023 | 11.36 Mn |
| Dec 31, 2022 | 10.99 Mn |
| Sep 30, 2022 | 15.58 Mn |
| Jun 30, 2022 | 12.94 Mn |
| Mar 31, 2022 | 13.27 Mn |
| Dec 31, 2021 | 13.64 Mn |
| Sep 30, 2021 | 31.16 Mn |
| Jun 30, 2021 | 23.41 Mn |
| Mar 31, 2021 | 26.01 Mn |
API Access
Gee Total 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-current-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();