Par Technology (PAR) Shares Outstanding (Diluted) (2010 - 2026)
Par Technology (PAR) recorded Shares Outstanding (Diluted) of 41.28 million in Q2 2026, up 1.9% from 40.52 million a year earlier and up 0.7% from the prior quarter.
Par Technology (PAR) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Par Technology reported Shares Outstanding (Diluted) of 40.47 million, up 18.5% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for 14 straight years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 34.16 million in FY2024 (+24.0%), 27.55 million in FY2023 (+1.5%), 27.15 million in FY2022 (+8.2%) and 25.09 million in FY2021 (+31.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 28 consecutive quarters, with growth averaging 18.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 1.3% in Q3 2023 to 42.5% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at 41 million (Q1 2026), 40.47 million (Q4 2025) and 40.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 590.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 114.98 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 50.03 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 59.00 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 404.40 Mn |
| 10 | Par Technology | 568.32 Mn | 239.42 Mn | 56.58 Mn | 41.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.28 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 40.47 Mn |
| Sep 30, 2025 | 40.58 Mn |
| Jun 30, 2025 | 40.52 Mn |
| Mar 31, 2025 | 40.17 Mn |
| Dec 31, 2024 | 34.16 Mn |
| Sep 30, 2024 | 35.87 Mn |
| Jun 30, 2024 | 34.02 Mn |
| Mar 31, 2024 | 29.52 Mn |
| Dec 31, 2023 | 27.55 Mn |
| Sep 30, 2023 | 27.47 Mn |
| Jun 30, 2023 | 27.36 Mn |
| Mar 31, 2023 | 27.34 Mn |
| Dec 31, 2022 | 27.15 Mn |
| Sep 30, 2022 | 27.11 Mn |
| Jun 30, 2022 | 26.98 Mn |
| Mar 31, 2022 | 26.97 Mn |
| Dec 31, 2021 | 25.09 Mn |
| Sep 30, 2021 | 26.00 Mn |
Par Technology 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=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PAR", "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=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();