Roku (ROKU) Research & Development (2016 - 2026)
Roku (ROKU) reported Research & Development of $179.68 million for Q2 2026, up 0.9% from $178.02 million a year earlier but down 5.2% from the prior quarter.
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Analysis
Roku (ROKU) Research & Development (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Roku's Research & Development came in at $736.05 million, up 1.3% year-over-year; for FY2025, it was $729.48 million, up 1.3% from FY2024.
- Research & Development has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- By year, Research & Development came in at $720.15 million in FY2024 (-18.0%), $878.47 million in FY2023 (+11.4%), $788.91 million in FY2022 (+70.9%) and $461.6 million in FY2021 (+29.7%).
- Five-year quarterly Research & Development spans a low of $120.31 million in Q3 2021 and a high of $282.2 million in Q3 2023.
- Year over year, Research & Development gained in six of the last eight quarters, with an average decline of 3.4%.
- The high point for year-over-year Research & Development in five years was Q4 2022 (growth of 74.5%); the low point was Q3 2024 (a decline of 36.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $189.49 million (Q1 2026), $184.65 million (Q4 2025) and $182.24 million (Q3 2025).
Peer Set
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 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn | 179.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.68 Mn |
| Mar 31, 2026 | 189.49 Mn |
| Dec 31, 2025 | 184.65 Mn |
| Sep 30, 2025 | 182.24 Mn |
| Jun 30, 2025 | 178.02 Mn |
| Mar 31, 2025 | 184.58 Mn |
| Dec 31, 2024 | 185.41 Mn |
| Sep 30, 2024 | 178.80 Mn |
| Jun 30, 2024 | 175.48 Mn |
| Mar 31, 2024 | 180.46 Mn |
| Dec 31, 2023 | 183.80 Mn |
| Sep 30, 2023 | 282.20 Mn |
| Jun 30, 2023 | 192.39 Mn |
| Mar 31, 2023 | 220.09 Mn |
| Dec 31, 2022 | 220.67 Mn |
| Sep 30, 2022 | 207.61 Mn |
| Jun 30, 2022 | 196.64 Mn |
| Mar 31, 2022 | 164.00 Mn |
| Dec 31, 2021 | 126.44 Mn |
| Sep 30, 2021 | 120.31 Mn |
API Access
Roku 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=ROKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();