Liveperson (LPSN) Accumulated Expenses (2010 - 2026)
Liveperson (LPSN) posted Accumulated Expenses of $47.13 million for Q2 2026, down 34.1% from $71.55 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Liveperson (LPSN) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Liveperson's Accumulated Expenses came in at $38.7 million, down 41.9% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- In prior years, Liveperson's Accumulated Expenses was $66.58 million in FY2024 (-31.4%), $97.02 million in FY2023 (-24.9%), $129.24 million in FY2022 (+23.9%) and $104.3 million in FY2021 (+4.4%).
- Quarterly Accumulated Expenses has run from a low of $4.86 million in Q1 2023 to a high of $129.24 million in Q4 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with an average decline of 25.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 23.9%; the weakest was Q1 2023, with a decline of 95.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $48.11 million (Q1 2026), $38.7 million (Q4 2025) and $59.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Liveperson | 38.24 Mn | -361.59 Mn | 36.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.13 Mn |
| Mar 31, 2026 | 48.11 Mn |
| Dec 31, 2025 | 38.70 Mn |
| Sep 30, 2025 | 59.66 Mn |
| Jun 30, 2025 | 71.55 Mn |
| Mar 31, 2025 | 57.28 Mn |
| Dec 31, 2024 | 66.58 Mn |
| Sep 30, 2024 | 75.10 Mn |
| Jun 30, 2024 | 68.24 Mn |
| Mar 31, 2024 | 75.51 Mn |
| Dec 31, 2023 | 97.02 Mn |
| Sep 30, 2023 | 123.13 Mn |
| Jun 30, 2023 | 109.53 Mn |
| Mar 20, 2023 | 4.86 Mn |
| Dec 31, 2022 | 129.24 Mn |
| Sep 30, 2022 | 118.42 Mn |
| Jun 30, 2022 | 120.92 Mn |
| Mar 31, 2022 | 106.78 Mn |
| Dec 31, 2021 | 104.30 Mn |
| Sep 30, 2021 | 105.60 Mn |
API Access
Liveperson Accumulated Expenses 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=accumulated-expenses&ticker=LPSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LPSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();