Gee (JOB) Depreciation & Amortization - Total (2014 - 2026)
Gee's Depreciation & Amortization - Total came in at $46,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 16.4% from $55,000 a year earlier and down 2.1% from the prior quarter.
Gee (JOB) Depreciation & Amortization - Total (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Gee reported Depreciation & Amortization - Total of $192,000, down 21.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $201,000, down 23.0% from FY2024.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation & Amortization - Total was $261,000 in FY2024 (-31.9%), $383,000 in FY2023 (+3.2%), $371,000 in FY2022 (+19.3%) and $311,000 in FY2021 (+25.4%).
- The fiscal Q1 2026 figure represents the lowest quarterly Depreciation & Amortization - Total since fiscal Q3 2020.
- Year-over-year, Depreciation & Amortization - Total has declined for ten consecutive quarters, with an average decline of 27.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in fiscal Q3 2021 (growth of 136.4%), and the weakest in fiscal Q1 2025 (a decline of 34.5%).
- Business Quant data shows JOB's Depreciation & Amortization - Total at $47,000 (Q4 2025), $49,000 (Q3 2025) and $50,000 (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | 211.04 Mn |
| 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 | 45.08 Mn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 66,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66,000.00 |
| Mar 31, 2026 | 65,000.00 |
| Dec 31, 2025 | 106,000.00 |
| Sep 30, 2025 | 249,000.00 |
| Jun 30, 2025 | 274,000.00 |
| Mar 31, 2025 | 275,000.00 |
| Dec 31, 2024 | 260,000.00 |
| Sep 30, 2024 | 264,000.00 |
| Jun 30, 2024 | 783,000.00 |
| Mar 31, 2024 | 785,000.00 |
| Dec 31, 2023 | 804,000.00 |
| Sep 30, 2023 | 808,000.00 |
| Jun 30, 2023 | 816,000.00 |
| Mar 31, 2023 | 817,000.00 |
| Dec 31, 2022 | 821,000.00 |
| Sep 30, 2022 | 815,000.00 |
| Jun 30, 2022 | 816,000.00 |
| Mar 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 1.10 Mn |
| Sep 30, 2021 | 1.10 Mn |
Gee Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();