Arlo Technologies (ARLO) Return on Capital Employed [ROCE] (2018 - 2026)
Arlo Technologies (ARLO) posted Return on Capital Employed [ROCE] of 9.02% for Q2 2026, up 17.76 percentage points from -8.74% a year earlier but down 0.79 percentage points from the prior quarter.
Arlo Technologies (ARLO) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Arlo Technologies' Return on Capital Employed [ROCE] came in at 4.59%, up 34.88 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +48.11 percentage points (FY2020 to FY2025).
- In prior years, Arlo Technologies' Return on Capital Employed [ROCE] was -30.29% in FY2024 (-9.08 pp), -21.21% in FY2023 (+17.34 pp), -38.54% in FY2022 (-3.13 pp) and -35.42% in FY2021 (+8.10 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -61.51% in Q2 2023 to a high of 9.81% in Q1 2026 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last five quarters, with an average year-over-year change of +15.90 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q2 2024, with a gain of 38.81 percentage points; the weakest was Q2 2023, with a drop of 29.16 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 9.81% (Q1 2026), 3.83% (Q4 2025) and -3.80% (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 | Arlo Technologies | 1.37 Bn | 888.15 Mn | 75.22 Mn | 9.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.02% |
| Mar 29, 2026 | 9.81% |
| Dec 31, 2025 | 3.83% |
| Sep 28, 2025 | -3.80% |
| Jun 29, 2025 | -8.74% |
| Mar 30, 2025 | -20.73% |
| Dec 31, 2024 | -27.13% |
| Sep 29, 2024 | -27.45% |
| Jun 30, 2024 | -22.70% |
| Mar 31, 2024 | -18.22% |
| Dec 31, 2023 | -19.14% |
| Oct 1, 2023 | -48.23% |
| Jul 2, 2023 | -61.51% |
| Apr 2, 2023 | -54.11% |
| Dec 31, 2022 | -40.79% |
| Oct 2, 2022 | -39.95% |
| Jul 3, 2022 | -32.35% |
| Apr 3, 2022 | -37.44% |
| Dec 31, 2021 | -46.45% |
| Oct 3, 2021 | -49.94% |
Arlo Technologies 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=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ARLO", "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=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();