Gee (JOB) Intangibles (2009 - 2026)
Gee's Intangibles was $560,000 in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 11.0% from $629,000 a year earlier and down 9.7% from the prior quarter.
Powered by 
Analysis
Gee (JOB) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Intangibles at Gee came in at $620,000, down 25.7% from FY2024.
- Intangibles has now declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -49.5% (FY2020 to FY2025).
- In earlier fiscal years, Intangibles was $834,000 in FY2024 (-90.1%), $8.41 million in FY2023 (-25.5%), $11.29 million in FY2022 (-23.5%) and $14.75 million in FY2021 (-21.7%).
- The fiscal Q1 2026 figure marks the lowest quarterly Intangibles since fiscal Q4 2010.
- Compared with a year earlier, Intangibles has declined for 31 straight quarters, with an average decline of 55.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Intangibles ranged from 11.0% (fiscal Q1 2026) to 91.8% (fiscal Q1 2025).
- Per Business Quant data, JOB's Intangibles in the three fiscal quarters before Q1 2026 was $620,000 (Q4 2025), $822,000 (Q3 2025) and $1.05 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 2.91 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 282.94 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 1.21 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 589.83 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 1.94 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 39.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.92 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 274.94 Mn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 519,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 519,000.00 |
| Mar 31, 2026 | 540,000.00 |
| Dec 31, 2025 | 560,000.00 |
| Sep 30, 2025 | 620,000.00 |
| Jun 30, 2025 | 822,000.00 |
| Mar 31, 2025 | 1.05 Mn |
| Dec 31, 2024 | 629,000.00 |
| Sep 30, 2024 | 834,000.00 |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 6.97 Mn |
| Dec 31, 2023 | 7.69 Mn |
| Sep 30, 2023 | 8.41 Mn |
| Jun 30, 2023 | 9.13 Mn |
| Mar 31, 2023 | 9.85 Mn |
| Dec 31, 2022 | 10.57 Mn |
| Sep 30, 2022 | 11.29 Mn |
| Jun 30, 2022 | 12.01 Mn |
| Mar 31, 2022 | 12.73 Mn |
| Dec 31, 2021 | 13.74 Mn |
| Sep 30, 2021 | 14.75 Mn |
API Access
Gee Intangibles 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=intangibles&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();