Gee (JOB) Cash & Equivalents (2010 - 2025)
Gee's Cash & Equivalents was $20.15 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), up 2.3% from $19.69 million a year earlier but down 5.7% from the prior quarter.
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Analysis
Gee (JOB) Cash & Equivalents (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Gee came in at $21.36 million, up 2.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $20.83 million in FY2024 (-7.3%), $22.47 million in FY2023 (+19.2%), $18.85 million in FY2022 (+89.5%) and $9.95 million in FY2021 (-29.3%).
- Quarterly Cash & Equivalents has moved between $7.36 million (fiscal Q3 2021) and $22.47 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 2.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2021 (growth of 499.3%); the worst was fiscal Q3 2021 (a decline of 55.6%).
- Per Business Quant data, JOB's Cash & Equivalents in the three fiscal quarters before Q1 2026 was $21.36 million (Q4 2025), $18.62 million (Q3 2025) and $18.68 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 499.43 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 109.09 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 2.47 Bn |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.15 Mn |
| Sep 30, 2025 | 21.36 Mn |
| Jun 30, 2025 | 18.62 Mn |
| Mar 31, 2025 | 18.68 Mn |
| Dec 31, 2024 | 19.69 Mn |
| Sep 30, 2024 | 20.83 Mn |
| Jun 30, 2024 | 19.60 Mn |
| Mar 31, 2024 | 21.20 Mn |
| Dec 31, 2023 | 19.91 Mn |
| Sep 30, 2023 | 22.47 Mn |
| Jun 30, 2023 | 20.73 Mn |
| Mar 31, 2023 | 20.10 Mn |
| Dec 31, 2022 | 18.47 Mn |
| Sep 30, 2022 | 18.85 Mn |
| Jun 30, 2022 | 17.54 Mn |
| Mar 31, 2022 | 14.18 Mn |
| Dec 31, 2021 | 12.13 Mn |
| Sep 30, 2021 | 9.95 Mn |
| Jun 30, 2021 | 7.36 Mn |
| Mar 31, 2021 | 14.26 Mn |
API Access
Gee Cash & Equivalents 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=cash-and-equivalents&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();