Gee (JOB) Amortization - Intangibles (2010 - 2026)
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.
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Analysis
Gee (JOB) Amortization - Intangibles (2010 - 2026) 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 | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,000.00 |
| Mar 31, 2026 | 20,000.00 |
| 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 |
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();