Insperity (NSP) Shares Outstanding (Diluted) (2009 - 2026)
Insperity (NSP) recorded Weighted Average Shares Outstanding (Diluted) of 38 million in Q3 2026, unchanged from 38 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Insperity (NSP) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Starting with Q4 2009, Insperity's Weighted Average Shares Outstanding (Diluted) history includes 68 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 38 million in FY2024 (-0.9%), 38.34 million in FY2023 (-0.7%), 38.62 million in FY2022 (-0.7%) and 38.9 million in FY2021 (+0.2%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 38 million in Q1 2024 to 39 million in Q2 2026 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in 1 of the last eight quarters, with growth averaging 0.2%.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 2.6% in Q2 2026, against a decline of 1.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 39 million (Q2 2026), 38 million (Q1 2026) and 38 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 617.50 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 299.99 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 478.98 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 432.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 204.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 268.54 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 507.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 63.95 Mn |
| 10 | Insperity | 1.94 Bn | -497.72 Mn | 207.00 Mn | 38.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.00 Mn |
| Jun 30, 2026 | 39.00 Mn |
| Mar 31, 2026 | 38.00 Mn |
| Dec 31, 2025 | 38.00 Mn |
| Sep 30, 2025 | 38.00 Mn |
| Jun 30, 2025 | 38.00 Mn |
| Mar 31, 2025 | 38.00 Mn |
| Dec 31, 2024 | 38.00 Mn |
| Sep 30, 2024 | 38.00 Mn |
| Jun 30, 2024 | 38.00 Mn |
| Mar 31, 2024 | 38.00 Mn |
| Dec 31, 2023 | 38.34 Mn |
| Sep 30, 2023 | 38.20 Mn |
| Jun 30, 2023 | 38.58 Mn |
| Mar 31, 2023 | 38.67 Mn |
| Dec 31, 2022 | 38.62 Mn |
| Sep 30, 2022 | 38.55 Mn |
| Jun 30, 2022 | 38.59 Mn |
| Mar 31, 2022 | 38.69 Mn |
| Dec 31, 2021 | 38.90 Mn |
API Access
Insperity Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();