Liveperson (LPSN) Depreciation and Depletion (2010 - 2026)
Liveperson (LPSN) recorded Depreciation and Depletion of $4.94 million in Q1 2026, down 11.6% from $5.59 million a year earlier and down 7.5% from the prior quarter.
Liveperson (LPSN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Liveperson's Depreciation and Depletion came in at $21.38 million as of Mar 31, 2026, down 22.8% year-over-year; for FY2025, it came in at $21.98 million, down 27.5% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 95.4% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $30.31 million in FY2024 (-6.9%), $32.56 million in FY2023 and $3.72 million in FY2021 (+381.6%).
- The Q1 2026 figure is the lowest quarterly Depreciation and Depletion since Q4 2021.
- On a year-over-year basis, Depreciation and Depletion has declined for eight consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 36.1% in Q2 2023, against a decline of 32.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.34 million (Q4 2025), $5.5 million (Q3 2025) and $5.6 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 8.30 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 17.70 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 6.26 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.00 Mn |
| 10 | Liveperson | 38.24 Mn | -361.59 Mn | 36.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.94 Mn |
| Dec 31, 2025 | 5.34 Mn |
| Sep 30, 2025 | 5.50 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 5.59 Mn |
| Dec 31, 2024 | 7.11 Mn |
| Sep 30, 2024 | 7.30 Mn |
| Jun 30, 2024 | 7.70 Mn |
| Mar 31, 2024 | 8.23 Mn |
| Dec 31, 2023 | 7.66 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 9.70 Mn |
| Sep 30, 2022 | 7.10 Mn |
| Jun 30, 2022 | 7.13 Mn |
| Mar 31, 2022 | 7.22 Mn |
| Dec 31, 2021 | -16.75 Mn |
| Sep 30, 2021 | 6.89 Mn |
| Jun 30, 2021 | 6.97 Mn |
| Mar 31, 2021 | 6.61 Mn |
| Dec 31, 2020 | -16.45 Mn |
Liveperson Depreciation and Depletion 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=depreciation-and-depletion&ticker=LPSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LPSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();