Insperity (NSP) Property, Plant & Equipment (Net) (2009 - 2026)
Insperity (NSP) posted Property, Plant & Equipment (Net) of $172 million for Q3 2026, down 4.4% from $180 million a year earlier but up 1.2% from the prior quarter.
Insperity (NSP) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Insperity's Property, Plant & Equipment (Net) came in at $177 million, down 7.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for five consecutive years, with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, Insperity's Property, Plant & Equipment (Net) was $192 million in FY2024 (-2.5%), $197 million in FY2023 (-1.5%), $199.99 million in FY2022 (-5.1%) and $210.72 million in FY2021 (-2.6%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $170 million in Q2 2026 to a high of $210.72 million in Q4 2021 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 20 quarters, with an average decline of 4.9% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 0.4% (Q3 2024) and 9.2% (Q2 2022) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $170 million (Q2 2026), $172 million (Q1 2026) and $177 million (Q4 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 | Insperity | 1.94 Bn | -497.72 Mn | 207.00 Mn | 172.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 172.00 Mn |
| Jun 30, 2026 | 170.00 Mn |
| Mar 31, 2026 | 172.00 Mn |
| Dec 31, 2025 | 177.00 Mn |
| Sep 30, 2025 | 180.00 Mn |
| Jun 30, 2025 | 182.00 Mn |
| Mar 31, 2025 | 186.00 Mn |
| Dec 31, 2024 | 192.00 Mn |
| Sep 30, 2024 | 190.00 Mn |
| Jun 30, 2024 | 186.00 Mn |
| Mar 31, 2024 | 191.00 Mn |
| Dec 31, 2023 | 197.00 Mn |
| Sep 30, 2023 | 190.67 Mn |
| Jun 30, 2023 | 192.83 Mn |
| Mar 31, 2023 | 196.38 Mn |
| Dec 31, 2022 | 199.99 Mn |
| Sep 30, 2022 | 196.60 Mn |
| Jun 30, 2022 | 199.32 Mn |
| Mar 31, 2022 | 205.06 Mn |
| Dec 31, 2021 | 210.72 Mn |
Insperity 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=NSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "NSP", "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=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();