Insperity (NSP) Accumulated Expenses (2009 - 2026)
Insperity's Accumulated Expenses was $85 million in Q2 2026, up 4.9% from $81 million a year earlier but down 6.6% from the prior quarter.
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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%).
- Quarterly Accumulated Expenses has moved between $64.88 million (Q3 2023) and $130 million (Q4 2023) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 4.5%.
- 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 Q2 2026 was $91 million (Q1 2026), $114 million (Q4 2025) and $80 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Insperity | 1.78 Bn | -494.86 Mn | 217.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 70.82 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_KEYimport 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();