Roku (ROKU) Accumulated Expenses (2016 - 2026)
Roku's Accumulated Expenses came in at $967.33 million for Q2 2026, up 18.2% from $818.6 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Roku (ROKU) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Roku's Accumulated Expenses was $957.98 million, up 12.3% from FY2024.
- Accumulated Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $852.8 million in FY2024 (+8.2%), $788.04 million in FY2023 (+5.0%), $750.81 million in FY2022 (+36.7%) and $549.06 million in FY2021 (+57.9%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- Year-over-year, Accumulated Expenses has increased for 19 consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 2.9% (Q3 2024) and 57.9% (Q4 2021) over the last five years.
- Business Quant data shows ROKU's Accumulated Expenses at $911.2 million (Q1 2026), $957.98 million (Q4 2025) and $933.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 967.33 Mn |
| Mar 31, 2026 | 911.20 Mn |
| Dec 31, 2025 | 957.98 Mn |
| Sep 30, 2025 | 933.72 Mn |
| Jun 30, 2025 | 818.60 Mn |
| Mar 31, 2025 | 788.76 Mn |
| Dec 31, 2024 | 852.80 Mn |
| Sep 30, 2024 | 820.17 Mn |
| Jun 30, 2024 | 724.47 Mn |
| Mar 31, 2024 | 672.44 Mn |
| Dec 31, 2023 | 788.04 Mn |
| Sep 30, 2023 | 797.23 Mn |
| Jun 30, 2023 | 638.48 Mn |
| Mar 31, 2023 | 646.36 Mn |
| Dec 31, 2022 | 750.81 Mn |
| Sep 30, 2022 | 625.84 Mn |
| Jun 30, 2022 | 575.28 Mn |
| Mar 31, 2022 | 574.85 Mn |
| Dec 31, 2021 | 549.06 Mn |
| Sep 30, 2021 | 482.06 Mn |
API Access
Roku Accumulated 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=accumulated-expenses&ticker=ROKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();