Xperi (XPER) Research & Development (2021 - 2026)
Xperi's Research & Development was $21.81 million in Q2 2026, down 26.8% from $29.78 million a year earlier and down 19.5% from the prior quarter.
Xperi (XPER) Research & Development (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xperi's Research & Development was $114.61 million through Jun 30, 2026, down 30.6% year-over-year; for FY2025, it came in at $135.05 million, down 29.4% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $191.35 million in FY2024 (-14.1%), $222.83 million in FY2023 (+3.0%), $216.36 million in FY2022 (+11.0%) and $194.87 million in FY2021 (+19.3%).
- The Q2 2026 figure marks the lowest quarterly Research & Development in data going back to Q3 2021.
- Compared with a year earlier, Research & Development has declined for 12 straight quarters, with an average decline of 25.3% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2022 (growth of 14.3%); the worst was Q3 2025 (a decline of 44.2%).
- Per Business Quant data, XPER's Research & Development in the three quarters before Q2 2026 was $27.08 million (Q1 2026), $35.8 million (Q4 2025) and $29.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Xperi | 267.61 Mn | -87.01 Mn | 78.42 Mn | 21.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.81 Mn |
| Mar 31, 2026 | 27.08 Mn |
| Dec 31, 2025 | 35.80 Mn |
| Sep 30, 2025 | 29.92 Mn |
| Jun 30, 2025 | 29.78 Mn |
| Mar 31, 2025 | 39.55 Mn |
| Dec 31, 2024 | 42.16 Mn |
| Sep 30, 2024 | 53.63 Mn |
| Jun 30, 2024 | 45.12 Mn |
| Mar 31, 2024 | 50.44 Mn |
| Dec 31, 2023 | 55.84 Mn |
| Sep 30, 2023 | 56.44 Mn |
| Jun 30, 2023 | 55.70 Mn |
| Mar 31, 2023 | 54.86 Mn |
| Dec 31, 2022 | 57.71 Mn |
| Sep 30, 2022 | 57.07 Mn |
| Jun 30, 2022 | 51.37 Mn |
| Mar 31, 2022 | 50.20 Mn |
| Dec 31, 2021 | 50.50 Mn |
| Sep 30, 2021 | 49.98 Mn |
Xperi Research & Development 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=research-and-development&ticker=XPER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();