Insperity (NSP) Accumulated Expenses (2009 - 2026)
Insperity's Accumulated Expenses was $79 million in Q3 2026, down 1.3% from $80 million a year earlier and down 7.1% from the prior quarter.
Analysis
Insperity (NSP) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Insperity came in at $114 million, down 2.6% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $117 million in FY2024 (-10.0%), $130 million in FY2023 (+62.3%), $80.12 million in FY2022 (+15.6%) and $69.3 million in FY2021 (+14.0%).
- The Q3 2026 figure marks the lowest quarterly Accumulated Expenses since Q3 2024.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 2.0%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2023 (growth of 62.3%); the worst was Q2 2023 (a decline of 18.0%).
- Per Business Quant data, NSP's Accumulated Expenses in the three quarters before Q3 2026 was $85 million (Q2 2026), $91 million (Q1 2026) and $114 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 10 | Insperity | 1.94 Bn | -497.72 Mn | 207.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.00 Mn |
| Jun 30, 2026 | 85.00 Mn |
| Mar 31, 2026 | 91.00 Mn |
| Dec 31, 2025 | 114.00 Mn |
| Sep 30, 2025 | 80.00 Mn |
| Jun 30, 2025 | 81.00 Mn |
| Mar 31, 2025 | 90.00 Mn |
| Dec 31, 2024 | 117.00 Mn |
| Sep 30, 2024 | 77.00 Mn |
| Jun 30, 2024 | 72.00 Mn |
| Mar 31, 2024 | 84.00 Mn |
| Dec 31, 2023 | 130.00 Mn |
| Sep 30, 2023 | 64.88 Mn |
| Jun 30, 2023 | 68.52 Mn |
| Mar 31, 2023 | 79.79 Mn |
| Dec 31, 2022 | 80.12 Mn |
| Sep 30, 2022 | 65.05 Mn |
| Jun 30, 2022 | 83.60 Mn |
| Mar 31, 2022 | 86.63 Mn |
| Dec 31, 2021 | 69.30 Mn |
API Access
Insperity Accumulated Expenses 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=accumulated-expenses&ticker=NSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();