Roku (ROKU) Non-Current Deffered Revenue (2016 - 2026)
Roku (ROKU) recorded Non-Current Deffered Revenue of $25.4 million in Q2 2026, up 0.8% from $25.19 million a year earlier but down 6.1% from the prior quarter.
Roku (ROKU) Non-Current Deffered Revenue (2016 - 2026) Analysis & Trends
At the end of FY2025, Roku reported Non-Current Deffered Revenue of $28.85 million, up 15.2% from FY2024.
- Annual Non-Current Deffered Revenue has a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Non-Current Deffered Revenue came in at $25.05 million in FY2024 (+1.9%), $24.57 million in FY2023 (-12.9%), $28.21 million in FY2022 (-1.8%) and $28.73 million in FY2021 (+35.0%).
- Quarterly Non-Current Deffered Revenue has ranged from $22.56 million in Q3 2023 to $28.85 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Deffered Revenue has increased for nine consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for Non-Current Deffered Revenue in the last five years was growth of 35.0% in Q4 2021, against a decline of 16.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.06 million (Q1 2026), $28.85 million (Q4 2025) and $28.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 385.66 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 30.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 445.27 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn | 25.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.40 Mn |
| Mar 31, 2026 | 27.06 Mn |
| Dec 31, 2025 | 28.85 Mn |
| Sep 30, 2025 | 28.05 Mn |
| Jun 30, 2025 | 25.19 Mn |
| Mar 31, 2025 | 25.12 Mn |
| Dec 31, 2024 | 25.05 Mn |
| Sep 30, 2024 | 23.27 Mn |
| Jun 30, 2024 | 23.47 Mn |
| Mar 31, 2024 | 23.49 Mn |
| Dec 31, 2023 | 24.57 Mn |
| Sep 30, 2023 | 22.56 Mn |
| Jun 30, 2023 | 23.07 Mn |
| Mar 31, 2023 | 24.52 Mn |
| Dec 31, 2022 | 28.21 Mn |
| Sep 30, 2022 | 26.27 Mn |
| Jun 30, 2022 | 27.45 Mn |
| Mar 31, 2022 | 25.65 Mn |
| Dec 31, 2021 | 28.73 Mn |
| Sep 30, 2021 | 23.42 Mn |
Roku Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=ROKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();