Liveperson (LPSN) Cash & Equivalents (2010 - 2026)
Liveperson's Cash & Equivalents came in at $96.67 million for Q2 2026, down 40.3% from $161.96 million a year earlier and down 4.8% from the prior quarter.
Liveperson (LPSN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Liveperson's Cash & Equivalents was $95 million, down 48.2% from FY2024.
- Cash & Equivalents has declined in each of the last five years, with a five-year compound annual growth rate of -32.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $183.24 million in FY2024 (-13.1%), $210.78 million in FY2023 (-46.2%), $391.78 million in FY2022 (-24.9%) and $521.85 million in FY2021 (-20.2%).
- The five-year range for quarterly Cash & Equivalents is $3.06 million (Q1 2023) to $633.04 million (Q3 2021).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with an average decline of 19.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2021 (growth of 218.6%), and the weakest in Q1 2023 (a decline of 99.4%).
- Business Quant data shows LPSN's Cash & Equivalents at $101.5 million (Q1 2026), $95 million (Q4 2025) and $106.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 823.26 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 4.10 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 111.50 Mn |
| 10 | Liveperson | 38.24 Mn | -361.59 Mn | 36.71 Mn | 96.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.67 Mn |
| Mar 31, 2026 | 101.50 Mn |
| Dec 31, 2025 | 95.00 Mn |
| Sep 30, 2025 | 106.66 Mn |
| Jun 30, 2025 | 161.96 Mn |
| Mar 31, 2025 | 176.25 Mn |
| Dec 31, 2024 | 183.24 Mn |
| Sep 30, 2024 | 142.10 Mn |
| Jun 30, 2024 | 145.96 Mn |
| Mar 31, 2024 | 127.06 Mn |
| Dec 31, 2023 | 210.78 Mn |
| Sep 30, 2023 | 212.19 Mn |
| Jun 30, 2023 | 213.76 Mn |
| Mar 20, 2023 | 3.06 Mn |
| Dec 31, 2022 | 391.78 Mn |
| Sep 30, 2022 | 393.33 Mn |
| Jun 30, 2022 | 425.94 Mn |
| Mar 31, 2022 | 480.68 Mn |
| Dec 31, 2021 | 521.85 Mn |
| Sep 30, 2021 | 633.04 Mn |
Liveperson Cash & Equivalents 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=cash-and-equivalents&ticker=LPSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LPSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();