Gee (JOB) Market Capitalization (2010 - 2025)
Gee's Market Capitalization came in at $21.88 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 4.8% from $22.98 million a year earlier and down 4.8% from the prior quarter.
Gee (JOB) Market Capitalization (2010 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Gee's Market Capitalization was $22.98 million, down 19.2% from FY2024.
- Market Capitalization has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by fiscal year, Market Capitalization was $28.45 million in FY2024 (-56.8%), $65.78 million in FY2023 (-8.8%), $72.1 million in FY2022 (+158.7%) and $27.87 million in FY2021 (+57.8%).
- The five-year range for quarterly Market Capitalization is $21.88 million (fiscal Q2 2025) to $72.1 million (fiscal Q4 2022).
- Year-over-year, Market Capitalization has declined for 13 consecutive quarters, with an average decline of 34.7% over the last eight quarters.
- The fastest year-over-year change in Market Capitalization over five years came in fiscal Q3 2021 (growth of 441.8%), and the weakest in fiscal Q1 2025 (a decline of 57.8%).
- Business Quant data shows JOB's Market Capitalization at $22.98 million (Q4 2025), $21.88 million (Q3 2025) and $21.88 million (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 21.88 Mn |
| Sep 30, 2025 | 22.98 Mn |
| Jun 30, 2025 | 21.88 Mn |
| Mar 31, 2025 | 21.88 Mn |
| Dec 31, 2024 | 22.98 Mn |
| Sep 30, 2024 | 28.45 Mn |
| Jun 30, 2024 | 33.72 Mn |
| Mar 31, 2024 | 39.16 Mn |
| Dec 31, 2023 | 54.39 Mn |
| Sep 30, 2023 | 65.78 Mn |
| Jun 30, 2023 | 57.70 Mn |
| Mar 31, 2023 | 48.07 Mn |
| Dec 31, 2022 | 56.08 Mn |
| Sep 30, 2022 | 72.10 Mn |
| Jun 30, 2022 | 59.33 Mn |
| Mar 31, 2022 | 62.76 Mn |
| Dec 31, 2021 | 65.04 Mn |
| Sep 30, 2021 | 27.87 Mn |
| Jun 30, 2021 | 52.64 Mn |
| Mar 31, 2021 | 22.44 Mn |
Gee Market Capitalization 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=market-capitalization&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();