Insperity (NSP) Operating Expenses (2009 - 2026)
Insperity (NSP) reported Operating Expenses of $211 million for Q2 2026, down 8.3% from $230 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Insperity (NSP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Insperity's Operating Expenses came in at $889 million, down 4.7% year-over-year; for FY2025, it was $910 million, down 2.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $935 million in FY2024 (+14.3%), $818 million in FY2023 (+7.5%), $761 million in FY2022 (+17.7%) and $646.77 million in FY2021 (+5.7%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with growth averaging 1.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 22.0%); the low point was Q2 2026 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $240 million (Q1 2026), $218 million (Q4 2025) and $220 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Insperity | 1.79 Bn | -481.88 Mn | 217.00 Mn | 211.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.00 Mn |
| Mar 31, 2026 | 240.00 Mn |
| Dec 31, 2025 | 218.00 Mn |
| Sep 30, 2025 | 220.00 Mn |
| Jun 30, 2025 | 230.00 Mn |
| Mar 31, 2025 | 242.00 Mn |
| Dec 31, 2024 | 233.00 Mn |
| Sep 30, 2024 | 228.00 Mn |
| Jun 30, 2024 | 237.00 Mn |
| Mar 31, 2024 | 237.00 Mn |
| Dec 31, 2023 | 199.00 Mn |
| Sep 30, 2023 | 199.00 Mn |
| Jun 30, 2023 | 209.00 Mn |
| Mar 31, 2023 | 211.00 Mn |
| Dec 31, 2022 | 190.18 Mn |
| Sep 30, 2022 | 191.92 Mn |
| Jun 30, 2022 | 191.52 Mn |
| Mar 31, 2022 | 187.38 Mn |
| Dec 31, 2021 | 155.95 Mn |
| Sep 30, 2021 | 158.88 Mn |
API Access
Insperity Operating 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=operating-expenses&ticker=NSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();