Gee (JOB) Amortization - Intangibles (2010 - 2025)
Gee's Amortization - Intangibles came in at $60,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 70.7% from $205,000 a year earlier and down 70.3% from the prior quarter.
Powered by 
Analysis
Gee (JOB) Amortization - Intangibles (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Gee reported Amortization - Intangibles of $712,000, down 61.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $857,000, down 63.7% from FY2024.
- Amortization - Intangibles has declined in each of the last six fiscal years, with a five-year compound annual growth rate of -29.8% (FY2020 to FY2025).
- Going back by fiscal year, Amortization - Intangibles was $2.36 million in FY2024 (-17.9%), $2.88 million in FY2023 (-17.0%), $3.47 million in FY2022 (-15.2%) and $4.09 million in FY2021 (-18.8%).
- The fiscal Q1 2026 figure represents the lowest quarterly Amortization - Intangibles in data going back to fiscal Q1 2011.
- Year-over-year, Amortization - Intangibles has declined for six consecutive quarters, with an average decline of 44.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Amortization - Intangibles ran from 0.0% in fiscal Q3 2024 to 71.7% in fiscal Q4 2024.
- Business Quant data shows JOB's Amortization - Intangibles at $202,000 (Q4 2025), $225,000 (Q3 2025) and $225,000 (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - |
| 10 | Gee | 24.17 Mn | 24.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 60,000.00 |
| Sep 30, 2025 | 202,000.00 |
| Jun 30, 2025 | 225,000.00 |
| Mar 31, 2025 | 225,000.00 |
| Dec 31, 2024 | 205,000.00 |
| Sep 30, 2024 | 204,000.00 |
| Jun 30, 2024 | 720,000.00 |
| Mar 31, 2024 | 719,000.00 |
| Dec 31, 2023 | 720,000.00 |
| Sep 30, 2023 | 720,000.00 |
| Jun 30, 2023 | 720,000.00 |
| Mar 31, 2023 | 719,000.00 |
| Dec 31, 2022 | 720,000.00 |
| Sep 30, 2022 | 720,000.00 |
| Jun 30, 2022 | 720,000.00 |
| Mar 31, 2022 | 1.02 Mn |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | 1.02 Mn |
| Jun 30, 2021 | 1.02 Mn |
| Mar 31, 2021 | 1.02 Mn |
API Access
Gee Amortization - 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=amortization-intangibles&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();