Gee (JOB) Assets (2010 - 2025)
Gee's Assets was $58.94 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 36.5% from $92.79 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Gee (JOB) Assets (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Assets at Gee came in at $60 million, down 37.4% from FY2024.
- Assets shows a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In earlier fiscal years, Assets was $95.9 million in FY2024 (-22.4%), $123.61 million in FY2023 (+3.4%), $119.55 million in FY2022 (+1.7%) and $117.59 million in FY2021 (-2.0%).
- The fiscal Q1 2026 figure marks the lowest quarterly Assets since fiscal Q2 2017.
- Compared with a year earlier, Assets has declined for eight straight quarters, with an average decline of 28.1% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was fiscal Q3 2023 (growth of 5.0%); the worst was fiscal Q2 2025 (a decline of 47.2%).
- Per Business Quant data, JOB's Assets in the three fiscal quarters before Q1 2026 was $60 million (Q4 2025), $60.56 million (Q3 2025) and $61.77 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 68.81 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 10.53 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 21.96 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 9.95 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 3.35 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 13.97 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 3.12 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 22.00 Mn |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 58.94 Mn |
| Sep 30, 2025 | 60.00 Mn |
| Jun 30, 2025 | 60.56 Mn |
| Mar 31, 2025 | 61.77 Mn |
| Dec 31, 2024 | 92.79 Mn |
| Sep 30, 2024 | 95.90 Mn |
| Jun 30, 2024 | 96.88 Mn |
| Mar 31, 2024 | 117.01 Mn |
| Dec 31, 2023 | 117.63 Mn |
| Sep 30, 2023 | 123.61 Mn |
| Jun 30, 2023 | 123.70 Mn |
| Mar 31, 2023 | 118.11 Mn |
| Dec 31, 2022 | 116.16 Mn |
| Sep 30, 2022 | 119.55 Mn |
| Jun 30, 2022 | 117.79 Mn |
| Mar 31, 2022 | 115.62 Mn |
| Dec 31, 2021 | 114.93 Mn |
| Sep 30, 2021 | 117.59 Mn |
| Jun 30, 2021 | 113.26 Mn |
| Mar 31, 2021 | 120.24 Mn |
API Access
Gee 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=assets&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();