Gee (JOB) Current Assets (2009 - 2026)
Gee (JOB) posted Current Assets of $29.48 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 10.6% from $32.99 million a year earlier and down 6.9% from the prior quarter.
Gee (JOB) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee's Current Assets came in at $31.68 million, down 10.5% from FY2024.
- Annual Current Assets has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior fiscal years, Gee's Current Assets was $35.4 million in FY2024 (-15.2%), $41.77 million in FY2023 (-1.1%), $42.22 million in FY2022 (+25.3%) and $33.69 million in FY2021 (+6.9%).
- The fiscal Q1 2026 figure stands as the lowest quarterly Current Assets since fiscal Q3 2021.
- On a year-over-year basis, Current Assets has declined in each of the last ten quarters, with an average decline of 11.9% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was fiscal Q2 2021, with growth of 63.5%; the weakest was fiscal Q4 2024, with a decline of 15.2%.
- According to Business Quant data, Current Assets for the three prior fiscal quarters was $31.68 million (Q4 2025), $31.68 million (Q3 2025) and $32.47 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 31.83 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 3.93 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 2.10 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 612.83 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 3.40 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 1.78 Bn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 3.86 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 4.10 Bn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 3.20 Bn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 30.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.56 Mn |
| Mar 31, 2026 | 30.45 Mn |
| Dec 31, 2025 | 29.48 Mn |
| Sep 30, 2025 | 31.68 Mn |
| Jun 30, 2025 | 31.68 Mn |
| Mar 31, 2025 | 32.47 Mn |
| Dec 31, 2024 | 32.99 Mn |
| Sep 30, 2024 | 35.40 Mn |
| Jun 30, 2024 | 35.48 Mn |
| Mar 31, 2024 | 36.81 Mn |
| Dec 31, 2023 | 37.05 Mn |
| Sep 30, 2023 | 41.77 Mn |
| Jun 30, 2023 | 41.38 Mn |
| Mar 31, 2023 | 41.29 Mn |
| Dec 31, 2022 | 39.53 Mn |
| Sep 30, 2022 | 42.22 Mn |
| Jun 30, 2022 | 39.46 Mn |
| Mar 31, 2022 | 36.19 Mn |
| Dec 31, 2021 | 34.22 Mn |
| Sep 30, 2021 | 33.69 Mn |
Gee 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=current-assets&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();