Insperity (NSP) Total Non-Current Liabilities (2009 - 2026)
Insperity's Total Non-Current Liabilities came in at $586 million for Q2 2026, up 6.7% from $549 million a year earlier and up 8.3% from the prior quarter.
Insperity (NSP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Insperity's Total Non-Current Liabilities was $537 million, down 5.8% from FY2024.
- Total Non-Current Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $570 million in FY2024 (-3.4%), $590 million in FY2023 (-2.4%), $604.62 million in FY2022 (-3.5%) and $626.29 million in FY2021 (-1.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2023.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 6.7%), and the weakest in Q4 2025 (a decline of 5.8%).
- Business Quant data shows NSP's Total Non-Current Liabilities at $541 million (Q1 2026), $537 million (Q4 2025) and $543 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -6.00 Mn |
| 10 | Insperity | 1.78 Bn | -496.01 Mn | 217.00 Mn | 586.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 586.00 Mn |
| Mar 31, 2026 | 541.00 Mn |
| Dec 31, 2025 | 537.00 Mn |
| Sep 30, 2025 | 543.00 Mn |
| Jun 30, 2025 | 549.00 Mn |
| Mar 31, 2025 | 558.00 Mn |
| Dec 31, 2024 | 570.00 Mn |
| Sep 30, 2024 | 575.00 Mn |
| Jun 30, 2024 | 570.00 Mn |
| Mar 31, 2024 | 580.00 Mn |
| Dec 31, 2023 | 590.00 Mn |
| Sep 30, 2023 | 591.99 Mn |
| Jun 30, 2023 | 599.06 Mn |
| Mar 31, 2023 | 603.58 Mn |
| Dec 31, 2022 | 604.62 Mn |
| Sep 30, 2022 | 599.76 Mn |
| Jun 30, 2022 | 611.17 Mn |
| Mar 31, 2022 | 619.52 Mn |
| Dec 31, 2021 | 626.29 Mn |
| Sep 30, 2021 | 632.87 Mn |
Insperity Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();