Roku (ROKU) Other Non-Current Liabilities (2016 - 2026)
Roku (ROKU) posted Other Non-Current Liabilities of $79.05 million for Q2 2026, up 3.7% from $76.24 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Roku (ROKU) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Roku's Other Non-Current Liabilities came in at $73.26 million, up 78.9% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 88.0% (FY2020 to FY2025).
- In prior years, Roku's Other Non-Current Liabilities was $40.94 million in FY2024 (-16.8%), $49.19 million in FY2023 (-29.6%), $69.91 million in FY2022 (-15.2%) and $82.49 million in FY2021.
- Quarterly Other Non-Current Liabilities has run from a low of $33.79 million in Q1 2025 to a high of $87.87 million in Q1 2022 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 40.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q2 2022, with growth of 266.8%; the weakest was Q3 2023, with a decline of 30.7%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $83.58 million (Q1 2026), $73.26 million (Q4 2025) and $71.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Roku | 22.60 Bn | 13.04 Bn | 673.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.05 Mn |
| Mar 31, 2026 | 83.58 Mn |
| Dec 31, 2025 | 73.26 Mn |
| Sep 30, 2025 | 71.27 Mn |
| Jun 30, 2025 | 76.24 Mn |
| Mar 31, 2025 | 33.79 Mn |
| Dec 31, 2024 | 40.94 Mn |
| Sep 30, 2024 | 43.65 Mn |
| Jun 30, 2024 | 40.18 Mn |
| Mar 31, 2024 | 44.06 Mn |
| Dec 31, 2023 | 49.19 Mn |
| Sep 30, 2023 | 52.97 Mn |
| Jun 30, 2023 | 55.43 Mn |
| Mar 31, 2023 | 63.30 Mn |
| Dec 31, 2022 | 69.91 Mn |
| Sep 30, 2022 | 76.40 Mn |
| Jun 30, 2022 | 77.60 Mn |
| Mar 31, 2022 | 87.87 Mn |
| Dec 31, 2021 | 82.49 Mn |
| Sep 30, 2021 | 60.22 Mn |
API Access
Roku Other Non-Current Liabilities 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-liabilities&ticker=ROKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();