Insperity (NSP) EBITDA (2009 - 2026)
Insperity's EBITDA was $8 million in Q3 2026, compared with -$14 million a year earlier and down 50.0% from the prior quarter.
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Analysis
Insperity (NSP) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Insperity's EBITDA was $63 million through Sep 30, 2026, down 3.1% year-over-year; for FY2025, it came in at $35 million, down 78.3% from FY2024.
- EBITDA has now declined for three consecutive years, with a five-year compound annual growth rate of -31.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $161 million in FY2024 (-38.5%), $262 million in FY2023 (-10.0%), $291 million in FY2022 (+37.3%) and $211.88 million in FY2021 (-6.2%).
- Quarterly EBITDA has moved between -$34 million (Q4 2025) and $131 million (Q1 2023) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last four quarters, with growth averaging 42.6%.
- The best year-over-year quarter for EBITDA over five years was Q2 2026 (growth of 300.0%); the worst was Q2 2025 (a decline of 88.2%).
- Per Business Quant data, NSP's EBITDA in the three quarters before Q3 2026 was $16 million (Q2 2026), $73 million (Q1 2026) and -$34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 327.51 Mn |
| 10 | Insperity | 1.94 Bn | -497.72 Mn | 207.00 Mn | 8.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.00 Mn |
| Jun 30, 2026 | 16.00 Mn |
| Mar 31, 2026 | 73.00 Mn |
| Dec 31, 2025 | -34.00 Mn |
| Sep 30, 2025 | -14.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 79.00 Mn |
| Dec 31, 2024 | -4.00 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 34.00 Mn |
| Mar 31, 2024 | 119.00 Mn |
| Dec 31, 2023 | 34.00 Mn |
| Sep 30, 2023 | 70.00 Mn |
| Jun 30, 2023 | 26.74 Mn |
| Mar 31, 2023 | 131.00 Mn |
| Dec 31, 2022 | 61.26 Mn |
| Sep 30, 2022 | 62.71 Mn |
| Jun 30, 2022 | 58.45 Mn |
| Mar 31, 2022 | 108.58 Mn |
| Dec 31, 2021 | 25.51 Mn |
API Access
Insperity EBITDA 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=ebitda&ticker=NSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();