Roku (ROKU) Change in Accrued Expenses (2016 - 2026)
Roku (ROKU) posted Change in Accrued Expenses of $1.57 million for Q3 2026, down 98.7% from $124.57 million a year earlier and down 98.0% from the prior quarter.
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Analysis
Roku (ROKU) Change in Accrued Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Roku was $49.08 million, down 50.9% year-over-year; for FY2025, it came in at $87.62 million, up 128.3% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- In prior years, Roku's Change in Accrued Expenses was $38.39 million in FY2024 (-33.5%), $57.71 million in FY2023 (-65.5%), $167.53 million in FY2022 (+29.9%) and $128.93 million in FY2021 (+1.3%).
- Quarterly Change in Accrued Expenses has run from a low of -$109.59 million in Q1 2024 to a high of $162.51 million in Q3 2023 over five years.
- On a year-over-year basis, Change in Accrued Expenses increased in two of the last five quarters, with growth averaging 115.4%.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2026, with growth of 751.2%; the weakest was Q3 2026, with a decline of 98.7%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $76.85 million (Q2 2026), -$41.34 million (Q1 2026) and $12.01 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 1.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.57 Mn |
| Jun 30, 2026 | 76.85 Mn |
| Mar 31, 2026 | -41.34 Mn |
| Dec 31, 2025 | 12.01 Mn |
| Sep 30, 2025 | 124.57 Mn |
| Jun 30, 2025 | 9.03 Mn |
| Mar 31, 2025 | -57.98 Mn |
| Dec 31, 2024 | 24.34 Mn |
| Sep 30, 2024 | 80.76 Mn |
| Jun 30, 2024 | 42.88 Mn |
| Mar 31, 2024 | -109.59 Mn |
| Dec 31, 2023 | -12.50 Mn |
| Sep 30, 2023 | 162.51 Mn |
| Jun 30, 2023 | 215,000.00 |
| Mar 31, 2023 | -92.50 Mn |
| Dec 31, 2022 | 140.27 Mn |
| Sep 30, 2022 | 27.73 Mn |
| Jun 30, 2022 | -11.66 Mn |
| Mar 31, 2022 | 11.18 Mn |
| Dec 31, 2021 | 94.73 Mn |
API Access
Roku Change in Accrued Expenses 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=change-in-accured-expenses&ticker=ROKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();