Xperi (XPER) Amortization - Intangibles (2021 - 2026)
Xperi (XPER) reported Amortization - Intangibles of $8.09 million for Q2 2026, down 11.5% from $9.14 million a year earlier but up 0.6% from the prior quarter.
Xperi (XPER) Amortization - Intangibles (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xperi's Amortization - Intangibles came in at $32.11 million, down 20.0% year-over-year; for FY2025, it was $34.84 million, down 19.7% from FY2024.
- Amortization - Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -18.7% (FY2020 to FY2025).
- By year, Amortization - Intangibles came in at $43.38 million in FY2024 (-24.9%), $57.75 million in FY2023 (-7.2%), $62.21 million in FY2022 (-40.9%) and $105.31 million in FY2021 (+7.2%).
- Five-year quarterly Amortization - Intangibles spans a low of $7.99 million in Q4 2025 and a high of $27.83 million in Q3 2021.
- Year over year, Amortization - Intangibles has now declined in each of the last 12 quarters, with an average decline of 19.5% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was Q2 2023 (growth of 0.3%); the low point was Q3 2022 (a decline of 40.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.04 million (Q1 2026), $7.99 million (Q4 2025) and $7.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Xperi | 277.81 Mn | -67.05 Mn | 78.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.87 Mn |
| Jun 30, 2026 | 8.09 Mn |
| Mar 31, 2026 | 8.04 Mn |
| Dec 31, 2025 | 7.99 Mn |
| Sep 30, 2025 | 7.99 Mn |
| Jun 30, 2025 | 9.14 Mn |
| Mar 31, 2025 | 9.72 Mn |
| Dec 31, 2024 | 10.36 Mn |
| Sep 30, 2024 | 10.93 Mn |
| Jun 30, 2024 | 11.04 Mn |
| Mar 31, 2024 | 11.04 Mn |
| Dec 31, 2023 | 13.40 Mn |
| Sep 30, 2023 | 14.72 Mn |
| Jun 30, 2023 | 14.80 Mn |
| Mar 31, 2023 | 14.83 Mn |
| Dec 31, 2022 | 16.04 Mn |
| Sep 30, 2022 | 16.61 Mn |
| Jun 30, 2022 | 14.76 Mn |
| Mar 31, 2022 | 14.79 Mn |
| Dec 31, 2021 | 22.05 Mn |
Xperi Amortization - Intangibles 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=amortization-intangibles&ticker=XPER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "XPER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();