Gee (JOB) Depreciation & Amortization - Total (2014 - 2025)
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 - 2025) 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 | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 46,000.00 |
| Sep 30, 2025 | 47,000.00 |
| Jun 30, 2025 | 49,000.00 |
| Mar 31, 2025 | 50,000.00 |
| Dec 31, 2024 | 55,000.00 |
| Sep 30, 2024 | 60,000.00 |
| Jun 30, 2024 | 63,000.00 |
| Mar 31, 2024 | 66,000.00 |
| Dec 31, 2023 | 84,000.00 |
| Sep 30, 2023 | 88,000.00 |
| Jun 30, 2023 | 96,000.00 |
| Mar 31, 2023 | 98,000.00 |
| Dec 31, 2022 | 101,000.00 |
| Sep 30, 2022 | 95,000.00 |
| Jun 30, 2022 | 96,000.00 |
| Mar 31, 2022 | 94,000.00 |
| Dec 31, 2021 | 86,000.00 |
| Sep 30, 2021 | 83,000.00 |
| Jun 30, 2021 | 78,000.00 |
| Mar 31, 2021 | 77,000.00 |
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();