Roku (ROKU) Return on Capital Employed [ROCE] (2017 - 2026)
Roku (ROKU) recorded Return on Capital Employed [ROCE] of 8.53% in Q2 2026, up 13.53 percentage points from -4.99% a year earlier and up 5.32 percentage points from the prior quarter.
Roku (ROKU) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Roku reported Return on Capital Employed [ROCE] of -0.18%, up 6.97 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +1.32 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -7.15% in FY2024 (+18.73 pp), -25.88% in FY2023 (-9.10 pp), -16.78% in FY2022 (-26.39 pp) and 9.61% in FY2021 (+11.11 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +13.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 22.07 percentage points in Q3 2024, against a drop of 25.27 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 3.21% (Q1 2026), -0.18% (Q4 2025) and -3.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Roku | 22.61 Bn | 13.06 Bn | 673.70 Mn | 8.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.53% |
| Mar 31, 2026 | 3.21% |
| Dec 31, 2025 | -0.18% |
| Sep 30, 2025 | -3.54% |
| Jun 30, 2025 | -4.99% |
| Mar 31, 2025 | -6.49% |
| Dec 31, 2024 | -7.10% |
| Sep 30, 2024 | -9.56% |
| Jun 30, 2024 | -19.70% |
| Mar 31, 2024 | -21.40% |
| Dec 31, 2023 | -26.85% |
| Sep 30, 2023 | -31.63% |
| Jun 30, 2023 | -23.34% |
| Mar 31, 2023 | -21.16% |
| Dec 31, 2022 | -15.99% |
| Sep 30, 2022 | -7.61% |
| Jun 30, 2022 | -1.27% |
| Mar 31, 2022 | 4.12% |
| Dec 31, 2021 | 7.19% |
| Sep 30, 2021 | 8.98% |
Roku Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ROKU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();