Liveperson (LPSN) Shares Outstanding (Diluted) (2010 - 2026)
Liveperson (LPSN) reported Shares Outstanding (Diluted) of 12.23 million for Q2 2026, up 94.9% from 6.28 million a year earlier and up 1.4% from the prior quarter.
Liveperson (LPSN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Liveperson posted Shares Outstanding (Diluted) of 8.64 million, up 46.1% from FY2024.
- Shares Outstanding (Diluted) has increased for nine consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 5.91 million in FY2024 (+12.9%), 5.24 million in FY2023 (+5.5%), 4.97 million in FY2022 (+7.0%) and 4.64 million in FY2021 (+5.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last four quarters, with growth averaging 36.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2026 (growth of 94.9%); the low point was Q1 2023 (a decline of 1.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 12.06 million (Q1 2026), 8.64 million (Q4 2025) and 7.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 260.16 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 159.71 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 211.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 299.75 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 527.46 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 226.80 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 63.32 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 86.62 Mn |
| 10 | Liveperson | 38.24 Mn | -361.59 Mn | 36.71 Mn | 12.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.23 Mn |
| Mar 31, 2026 | 12.06 Mn |
| Dec 31, 2025 | 8.64 Mn |
| Sep 30, 2025 | 7.42 Mn |
| Jun 30, 2025 | 6.28 Mn |
| Mar 31, 2025 | 6.35 Mn |
| Dec 31, 2024 | 5.91 Mn |
| Sep 30, 2024 | 5.97 Mn |
| Jun 30, 2024 | 6.33 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Dec 31, 2023 | 5.24 Mn |
| Sep 30, 2023 | 5.20 Mn |
| Jun 30, 2023 | 6.10 Mn |
| Mar 20, 2023 | 4.97 Mn |
| Dec 31, 2022 | 4.97 Mn |
| Sep 30, 2022 | 5.19 Mn |
| Jun 30, 2022 | 5.15 Mn |
| Mar 31, 2022 | 5.05 Mn |
| Dec 31, 2021 | 4.64 Mn |
| Sep 30, 2021 | 4.65 Mn |
Liveperson 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=LPSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LPSN", "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=LPSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();