Gee (JOB) Revenue (2011 - 2025)
Gee (JOB) reported Revenue of $20.52 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 14.6% from $24.03 million a year earlier and down 12.6% from the prior quarter.
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Analysis
Gee (JOB) Revenue (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's Revenue came in at $93 million, down 9.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $96.5 million, down 9.8% from FY2024.
- Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $106.94 million in FY2024 (-29.9%), $152.44 million in FY2023 (-7.7%), $165.11 million in FY2022 (+10.9%) and $148.88 million in FY2021 (+14.7%).
- The fiscal Q1 2026 figure ranks as the lowest quarterly Revenue since fiscal Q1 2016.
- Year over year, Revenue has now declined in each of the last 13 quarters, with an average decline of 18.4% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q3 2021 (growth of 43.1%); the low point was fiscal Q2 2024 (a decline of 34.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $23.46 million (Q4 2025), $24.52 million (Q3 2025) and $24.5 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.52 Mn |
| Sep 30, 2025 | 23.46 Mn |
| Jun 30, 2025 | 24.52 Mn |
| Mar 31, 2025 | 24.50 Mn |
| Dec 31, 2024 | 24.03 Mn |
| Sep 30, 2024 | 26.16 Mn |
| Jun 30, 2024 | 27.05 Mn |
| Mar 31, 2024 | 25.59 Mn |
| Dec 31, 2023 | 30.63 Mn |
| Sep 30, 2023 | 34.27 Mn |
| Jun 30, 2023 | 38.17 Mn |
| Mar 31, 2023 | 38.86 Mn |
| Dec 31, 2022 | 41.15 Mn |
| Sep 30, 2022 | 41.52 Mn |
| Jun 30, 2022 | 41.11 Mn |
| Mar 31, 2022 | 39.63 Mn |
| Dec 31, 2021 | 42.85 Mn |
| Sep 30, 2021 | 41.45 Mn |
| Jun 30, 2021 | 38.07 Mn |
| Mar 31, 2021 | 34.72 Mn |
API Access
Gee Revenue 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=revenue&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();