Kelly Services (KELYA) Property, Plant & Equipment (Net) (2009 - 2026)
Kelly Services (KELYA) reported Property, Plant & Equipment (Net) of $18 million for Q2 2026, down 21.1% from $22.8 million a year earlier and down 4.3% from the prior quarter.
Kelly Services (KELYA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Kelly Services posted Property, Plant & Equipment (Net) of $20.5 million, down 20.5% from FY2024.
- Property, Plant & Equipment (Net) has a four-year compound annual growth rate of -15.9% (FY2021 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $25.8 million in FY2024 (+4.9%), $24.6 million in FY2023 (-11.5%), $27.8 million in FY2022 and $41 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2011.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last six quarters, with an average decline of 13.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2024 (growth of 4.9%); the low point was Q2 2026 (a decline of 21.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.8 million (Q1 2026), $20.5 million (Q4 2025) and $22.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.72 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 10.67 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 111.03 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 451.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 791.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.74 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 443.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 194.72 Mn |
| 10 | Kelly Services | 487.19 Mn | 382.19 Mn | 194.40 Mn | 17.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 17.60 Mn |
| Jun 28, 2026 | 18.00 Mn |
| Mar 29, 2026 | 18.80 Mn |
| Dec 28, 2025 | 20.50 Mn |
| Sep 28, 2025 | 22.10 Mn |
| Jun 29, 2025 | 22.80 Mn |
| Mar 30, 2025 | 23.70 Mn |
| Dec 29, 2024 | 25.80 Mn |
| Sep 29, 2024 | 26.50 Mn |
| Jun 30, 2024 | 26.80 Mn |
| Mar 31, 2024 | 25.50 Mn |
| Dec 31, 2023 | 24.60 Mn |
| Oct 1, 2023 | 28.80 Mn |
| Jul 2, 2023 | 28.80 Mn |
| Apr 2, 2023 | 28.60 Mn |
| Dec 31, 2022 | 27.80 Mn |
| Oct 2, 2022 | 24.90 Mn |
| Jul 3, 2022 | 25.40 Mn |
| Apr 3, 2022 | 32.00 Mn |
| Dec 31, 2021 | 35.30 Mn |
Kelly Services 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=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "KELYA", "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=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();