Arlo Technologies (ARLO) Return on Equity [ROE] (2018 - 2026)
Arlo Technologies' Return on Equity [ROE] was 19.18% in Q2 2026, up 25.43 percentage points from -6.25% a year earlier but down 2.15 percentage points from the prior quarter.
Arlo Technologies (ARLO) Return on Equity [ROE] (2018 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Arlo Technologies came in at 13.05%, up 42.93 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of +73.11 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -29.88% in FY2024 (-6.80 pp), -23.08% in FY2023 (+33.45 pp), -56.53% in FY2022 (-11.05 pp) and -45.47% in FY2021 (+14.59 pp).
- Quarterly Return on Equity [ROE] has moved between -71.75% (Q1 2023) and 21.33% (Q1 2026) over five years.
- Compared with a year earlier, Return on Equity [ROE] has increased for five straight quarters, with an average year-over-year change of +21.19 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q1 2024 (a gain of 54.58 percentage points); the worst was Q2 2023 (a drop of 30.07 percentage points).
- Per Business Quant data, ARLO's Return on Equity [ROE] in the three quarters before Q2 2026 was 21.33% (Q1 2026), 11.61% (Q4 2025) and 3.51% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 1.11% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.60% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 166.87% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -53.23% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 4.25% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 4.27% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 5.53% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.31% |
| 10 | Arlo Technologies | 1.33 Bn | 847.27 Mn | 75.22 Mn | 19.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 19.18% |
| Mar 29, 2026 | 21.33% |
| Dec 31, 2025 | 11.61% |
| Sep 28, 2025 | 3.51% |
| Jun 29, 2025 | -6.25% |
| Mar 30, 2025 | -21.20% |
| Dec 31, 2024 | -30.81% |
| Sep 29, 2024 | -25.44% |
| Jun 30, 2024 | -21.72% |
| Mar 31, 2024 | -17.17% |
| Dec 31, 2023 | -22.79% |
| Oct 1, 2023 | -52.22% |
| Jul 2, 2023 | -69.29% |
| Apr 2, 2023 | -71.75% |
| Dec 31, 2022 | -61.21% |
| Oct 2, 2022 | -41.32% |
| Jul 3, 2022 | -39.22% |
| Apr 3, 2022 | -47.93% |
| Dec 31, 2021 | -49.90% |
| Oct 3, 2021 | -56.85% |
Arlo Technologies Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=ARLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();