Xperi (XPER) Operating Expenses (2021 - 2026)
Xperi (XPER) posted Operating Expenses of $111.58 million for Q2 2026, down 4.7% from $117.07 million a year earlier and down 0.4% from the prior quarter.
Xperi (XPER) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Xperi was $467.93 million, down 12.6% year-over-year; for FY2025, it came in at $491.84 million, down 15.3% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Xperi's Operating Expenses was $580.76 million in FY2024 (-10.8%), $650.97 million in FY2023 (-48.0%), $1.25 billion in FY2022 (+93.1%) and $648.31 million in FY2021 (+22.6%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses in data going back to Q3 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last 12 quarters, with an average decline of 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 220.1%; the weakest was Q3 2023, with a decline of 69.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $112.06 million (Q1 2026), $131.3 million (Q4 2025) and $112.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Xperi | 267.61 Mn | -87.01 Mn | 78.42 Mn | 111.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.58 Mn |
| Mar 31, 2026 | 112.06 Mn |
| Dec 31, 2025 | 131.30 Mn |
| Sep 30, 2025 | 112.99 Mn |
| Jun 30, 2025 | 117.07 Mn |
| Mar 31, 2025 | 130.47 Mn |
| Dec 31, 2024 | 136.65 Mn |
| Sep 30, 2024 | 151.45 Mn |
| Jun 30, 2024 | 141.50 Mn |
| Mar 31, 2024 | 151.17 Mn |
| Dec 31, 2023 | 167.04 Mn |
| Sep 30, 2023 | 161.44 Mn |
| Jun 30, 2023 | 162.05 Mn |
| Mar 31, 2023 | 160.44 Mn |
| Dec 31, 2022 | 434.61 Mn |
| Sep 30, 2022 | 520.78 Mn |
| Jun 30, 2022 | 148.50 Mn |
| Mar 31, 2022 | 147.81 Mn |
| Dec 31, 2021 | 167.55 Mn |
| Sep 30, 2021 | 162.70 Mn |
Xperi Operating 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=operating-expenses&ticker=XPER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();