Xperi (XPER) Selling, General & Administrative (2021 - 2026)
Xperi's Selling, General & Administrative came in at $41.46 million for Q2 2026, up 0.8% from $41.14 million a year earlier but down 0.8% from the prior quarter.
Xperi (XPER) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xperi reported Selling, General & Administrative of $175.28 million, down 11.7% year-over-year; for FY2025, it was $181.87 million, down 16.6% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $218.11 million in FY2024 (-6.6%), $233.4 million in FY2023 (+7.4%), $217.4 million in FY2022 (+8.7%) and $199.92 million in FY2021 (+15.8%).
- The five-year range for quarterly Selling, General & Administrative is $41.14 million (Q2 2025) to $60.51 million (Q4 2022).
- Year-over-year, Selling, General & Administrative increased in 1 of the last eight quarters, with an average decline of 12.1%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 23.0%), and the weakest in Q3 2025 (a decline of 24.7%).
- Business Quant data shows XPER's Selling, General & Administrative at $41.79 million (Q1 2026), $49.49 million (Q4 2025) and $42.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 74.42 Mn |
| 10 | Xperi | 265.66 Mn | -88.96 Mn | 78.42 Mn | 41.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.46 Mn |
| Mar 31, 2026 | 41.79 Mn |
| Dec 31, 2025 | 49.49 Mn |
| Sep 30, 2025 | 42.54 Mn |
| Jun 30, 2025 | 41.14 Mn |
| Mar 31, 2025 | 48.70 Mn |
| Dec 31, 2024 | 52.17 Mn |
| Sep 30, 2024 | 56.48 Mn |
| Jun 30, 2024 | 53.10 Mn |
| Mar 31, 2024 | 56.35 Mn |
| Dec 31, 2023 | 59.51 Mn |
| Sep 30, 2023 | 59.62 Mn |
| Jun 30, 2023 | 56.50 Mn |
| Mar 31, 2023 | 57.78 Mn |
| Dec 31, 2022 | 60.51 Mn |
| Sep 30, 2022 | 56.70 Mn |
| Jun 30, 2022 | 50.34 Mn |
| Mar 31, 2022 | 49.85 Mn |
| Dec 31, 2021 | 51.83 Mn |
| Sep 30, 2021 | 46.11 Mn |
Xperi Selling, General & Administrative 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=selling-general-and-administrative&ticker=XPER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();