Roku (ROKU) Property, Plant & Equipment (Net) (2016 - 2026)
Roku (ROKU) recorded Property, Plant & Equipment (Net) of $155.05 million in Q2 2026, down 20.0% from $193.77 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Roku (ROKU) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Roku reported Property, Plant & Equipment (Net) of $173.58 million, down 18.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, though with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $213.69 million in FY2024 (-19.2%), $264.56 million in FY2023 (-21.0%), $335.03 million in FY2022 (+88.7%) and $177.57 million in FY2021 (+14.4%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q1 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 11 consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 93.0% in Q1 2023, against a decline of 32.9% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $162.26 million (Q1 2026), $173.58 million (Q4 2025) and $182.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 341.51 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 753.00 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.20 Bn |
| 10 | Roku | 22.66 Bn | 13.10 Bn | 673.70 Mn | 155.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.05 Mn |
| Mar 31, 2026 | 162.26 Mn |
| Dec 31, 2025 | 173.58 Mn |
| Sep 30, 2025 | 182.81 Mn |
| Jun 30, 2025 | 193.77 Mn |
| Mar 31, 2025 | 203.62 Mn |
| Dec 31, 2024 | 213.69 Mn |
| Sep 30, 2024 | 223.00 Mn |
| Jun 30, 2024 | 240.04 Mn |
| Mar 31, 2024 | 251.49 Mn |
| Dec 31, 2023 | 264.56 Mn |
| Sep 30, 2023 | 278.72 Mn |
| Jun 30, 2023 | 357.60 Mn |
| Mar 31, 2023 | 359.54 Mn |
| Dec 31, 2022 | 335.03 Mn |
| Sep 30, 2022 | 272.19 Mn |
| Jun 30, 2022 | 217.56 Mn |
| Mar 31, 2022 | 186.31 Mn |
| Dec 31, 2021 | 177.57 Mn |
| Sep 30, 2021 | 170.61 Mn |
API Access
Roku Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ROKU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ROKU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();