Roku (ROKU) Other Non-Current Assets (2016 - 2026)
Roku's Other Non-Current Assets came in at $70.13 million for Q2 2026, down 4.0% from $73.08 million a year earlier but up 19.8% from the prior quarter.
Roku (ROKU) Other Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Roku's Other Non-Current Assets was $70.53 million, down 43.7% from FY2024.
- Other Non-Current Assets carries a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $125.23 million in FY2024 (+35.9%), $92.18 million in FY2023 (+18.4%), $77.83 million in FY2022 (+122.0%) and $35.05 million in FY2021 (+115.5%).
- The five-year range for quarterly Other Non-Current Assets is $35.05 million (Q4 2021) to $381.73 million (Q3 2022).
- Year-over-year, Other Non-Current Assets has declined for five consecutive quarters, with an average decline of 7.0% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q1 2022 (growth of 161.9%), and the weakest in Q3 2023 (a decline of 77.7%).
- Business Quant data shows ROKU's Other Non-Current Assets at $58.54 million (Q1 2026), $70.53 million (Q4 2025) and $71.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 678.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 805.54 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 113.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 431.03 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 145.03 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 457.14 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 331.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 402.42 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 25.00 Mn |
| 10 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn | 70.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.13 Mn |
| Mar 31, 2026 | 58.54 Mn |
| Dec 31, 2025 | 70.53 Mn |
| Sep 30, 2025 | 71.84 Mn |
| Jun 30, 2025 | 73.08 Mn |
| Mar 31, 2025 | 123.71 Mn |
| Dec 31, 2024 | 125.23 Mn |
| Sep 30, 2024 | 139.74 Mn |
| Jun 30, 2024 | 111.87 Mn |
| Mar 31, 2024 | 96.91 Mn |
| Dec 31, 2023 | 92.18 Mn |
| Sep 30, 2023 | 85.27 Mn |
| Jun 30, 2023 | 86.34 Mn |
| Mar 31, 2023 | 81.97 Mn |
| Dec 31, 2022 | 77.83 Mn |
| Sep 30, 2022 | 381.73 Mn |
| Jun 30, 2022 | 352.04 Mn |
| Mar 31, 2022 | 294.82 Mn |
| Dec 31, 2021 | 35.05 Mn |
| Sep 30, 2021 | 193.91 Mn |
Roku Other Non-Current Assets 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=other-non-current-assets&ticker=ROKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();