Gee (JOB) Non-Current Assets (2010 - 2025)
Gee's Non-Current Assets was $29.46 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 50.7% from $59.8 million a year earlier but up 4.0% from the prior quarter.
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Analysis
Gee (JOB) Non-Current Assets (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Non-Current Assets at Gee came in at $28.32 million, down 53.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -20.4% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $60.5 million in FY2024 (-26.1%), $81.84 million in FY2023 (+5.8%), $77.33 million in FY2022 (-7.8%) and $83.9 million in FY2021 (-5.2%).
- Quarterly Non-Current Assets has moved between $28.32 million (fiscal Q4 2025) and $85.55 million (fiscal Q2 2021) over five years.
- Compared with a year earlier, Non-Current Assets has declined for seven straight quarters, with an average decline of 36.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q4 2023 (growth of 5.8%); the worst was fiscal Q2 2025 (a decline of 63.5%).
- Per Business Quant data, JOB's Non-Current Assets in the three fiscal quarters before Q1 2026 was $28.32 million (Q4 2025), $28.89 million (Q3 2025) and $29.3 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 10.46 Bn |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 29.46 Mn |
| Sep 30, 2025 | 28.32 Mn |
| Jun 30, 2025 | 28.89 Mn |
| Mar 31, 2025 | 29.30 Mn |
| Dec 31, 2024 | 59.80 Mn |
| Sep 30, 2024 | 60.50 Mn |
| Jun 30, 2024 | 61.41 Mn |
| Mar 31, 2024 | 80.20 Mn |
| Dec 31, 2023 | 80.58 Mn |
| Sep 30, 2023 | 81.84 Mn |
| Jun 30, 2023 | 82.32 Mn |
| Mar 31, 2023 | 76.82 Mn |
| Dec 31, 2022 | 76.63 Mn |
| Sep 30, 2022 | 77.33 Mn |
| Jun 30, 2022 | 78.33 Mn |
| Mar 31, 2022 | 79.43 Mn |
| Dec 31, 2021 | 80.72 Mn |
| Sep 30, 2021 | 83.90 Mn |
| Jun 30, 2021 | 84.74 Mn |
| Mar 31, 2021 | 85.55 Mn |
API Access
Gee Non-Current Assets 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-assets&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();