Roku (ROKU) Selling, General & Administrative (2016 - 2026)
Roku (ROKU) posted Selling, General & Administrative of $124.62 million for Q2 2026, up 25.0% from $99.72 million a year earlier and up 21.6% from the prior quarter.
Roku (ROKU) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Roku was $419.06 million, up 7.8% year-over-year; for FY2025, it was $386.22 million, up 4.1% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Roku's Selling, General & Administrative was $370.96 million in FY2024 (-8.0%), $403.16 million in FY2023 (+17.0%), $344.68 million in FY2022 (+34.5%) and $256.3 million in FY2021 (+48.0%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q3 2023.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 49.5%; the weakest was Q3 2024, with a decline of 22.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $102.45 million (Q1 2026), $100.87 million (Q4 2025) and $91.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 290.98 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 98.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 677.00 Mn |
| 10 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn | 124.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.62 Mn |
| Mar 31, 2026 | 102.45 Mn |
| Dec 31, 2025 | 100.87 Mn |
| Sep 30, 2025 | 91.12 Mn |
| Jun 30, 2025 | 99.72 Mn |
| Mar 31, 2025 | 94.50 Mn |
| Dec 31, 2024 | 94.41 Mn |
| Sep 30, 2024 | 99.99 Mn |
| Jun 30, 2024 | 98.81 Mn |
| Mar 31, 2024 | 77.74 Mn |
| Dec 31, 2023 | 93.74 Mn |
| Sep 30, 2023 | 128.72 Mn |
| Jun 30, 2023 | 84.65 Mn |
| Mar 31, 2023 | 96.05 Mn |
| Dec 31, 2022 | 96.04 Mn |
| Sep 30, 2022 | 86.80 Mn |
| Jun 30, 2022 | 84.05 Mn |
| Mar 31, 2022 | 77.78 Mn |
| Dec 31, 2021 | 68.49 Mn |
| Sep 30, 2021 | 65.07 Mn |
Roku 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=ROKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ROKU", "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=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();