Gee (JOB) Property, Plant & Equipment (Net) (2010 - 2025)
Gee's Property, Plant & Equipment (Net) came in at $312,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 38.0% from $503,000 a year earlier and down 11.9% from the prior quarter.
Gee (JOB) Property, Plant & Equipment (Net) (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee's Property, Plant & Equipment (Net) was $354,000, down 35.2% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -17.1% (FY2020 to FY2025).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $546,000 in FY2024 (-35.5%), $846,000 in FY2023 (-25.8%), $1.14 million in FY2022 (+49.0%) and $765,000 in FY2021 (-15.6%).
- The fiscal Q1 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2011.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 12 consecutive quarters, with an average decline of 35.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q4 2022 (growth of 49.0%), and the weakest in fiscal Q3 2025 (a decline of 39.3%).
- Business Quant data shows JOB's Property, Plant & Equipment (Net) at $354,000 (Q4 2025), $401,000 (Q3 2025) and $438,000 (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 312,000.00 |
| Sep 30, 2025 | 354,000.00 |
| Jun 30, 2025 | 401,000.00 |
| Mar 31, 2025 | 438,000.00 |
| Dec 31, 2024 | 503,000.00 |
| Sep 30, 2024 | 546,000.00 |
| Jun 30, 2024 | 661,000.00 |
| Mar 31, 2024 | 715,000.00 |
| Dec 31, 2023 | 780,000.00 |
| Sep 30, 2023 | 846,000.00 |
| Jun 30, 2023 | 949,000.00 |
| Mar 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 765,000.00 |
| Jun 30, 2021 | 777,000.00 |
| Mar 31, 2021 | 851,000.00 |
Gee Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();