Arlo Technologies (ARLO) Operating Margin (2017 - 2026)
Arlo Technologies (ARLO) recorded Operating Margin of 1.57% in Q2 2026, up 0.08 percentage points from 1.49% a year earlier but down 3.45 percentage points from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Operating Margin (2017 - 2026) Analysis & Trends
On a TTM basis, Arlo Technologies' Operating Margin came in at 2.66% as of Jun 28, 2026, up 4.82 percentage points year-over-year; for FY2025, it was 1.15%, up 7.98 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +30.51 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -6.83% in FY2024 (-1.76 pp), -5.07% in FY2023 (+6.53 pp), -11.60% in FY2022 (+2.22 pp) and -13.82% in FY2021 (+15.54 pp).
- Quarterly Operating Margin has ranged from -18.92% in Q4 2022 to 5.03% in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Margin has increased for six consecutive quarters, with an average year-over-year change of +3.91 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 18.58 percentage points in Q4 2023, against a drop of 13.86 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.03% (Q1 2026), 3.34% (Q4 2025) and 0.62% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 9.66% |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 1.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.57% |
| Mar 29, 2026 | 5.03% |
| Dec 31, 2025 | 3.34% |
| Sep 28, 2025 | 0.62% |
| Jun 29, 2025 | 1.49% |
| Mar 30, 2025 | -1.22% |
| Dec 31, 2024 | -4.96% |
| Sep 29, 2024 | -3.96% |
| Jun 30, 2024 | -10.04% |
| Mar 31, 2024 | -8.54% |
| Dec 31, 2023 | -0.34% |
| Oct 1, 2023 | -1.75% |
| Jul 2, 2023 | -6.98% |
| Apr 2, 2023 | -12.74% |
| Dec 31, 2022 | -18.92% |
| Oct 2, 2022 | -11.27% |
| Jul 3, 2022 | -9.53% |
| Apr 3, 2022 | -6.95% |
| Dec 31, 2021 | -5.06% |
| Oct 3, 2021 | -14.05% |
API Access
Arlo Technologies Operating Margin 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=operating-margin&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();