Arlo Technologies (ARLO) Revenue (2017 - 2026)
Arlo Technologies (ARLO) recorded Revenue of $155.94 million in Q2 2026, up 20.5% from $129.41 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Arlo Technologies (ARLO) Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Arlo Technologies' Revenue came in at $587.15 million as of Jun 28, 2026, up 15.6% year-over-year; for FY2025, it came in at $529.3 million, up 3.6% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $510.89 million in FY2024 (+4.0%), $491.18 million in FY2023 (+0.2%), $490.41 million in FY2022 (+12.7%) and $435.14 million in FY2021 (+21.8%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2017.
- On a year-over-year basis, Revenue has increased for five consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 51.1% in Q1 2022, against a decline of 17.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $150.38 million (Q1 2026), $141.3 million (Q4 2025) and $139.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 805.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 904.39 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Arlo Technologies | 1.34 Bn | 850.50 Mn | 75.22 Mn | 155.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 155.94 Mn |
| Mar 29, 2026 | 150.38 Mn |
| Dec 31, 2025 | 141.30 Mn |
| Sep 28, 2025 | 139.53 Mn |
| Jun 29, 2025 | 129.41 Mn |
| Mar 30, 2025 | 119.07 Mn |
| Dec 31, 2024 | 121.57 Mn |
| Sep 29, 2024 | 137.67 Mn |
| Jun 30, 2024 | 127.45 Mn |
| Mar 31, 2024 | 124.20 Mn |
| Dec 31, 2023 | 135.09 Mn |
| Oct 1, 2023 | 130.00 Mn |
| Jul 2, 2023 | 115.08 Mn |
| Apr 2, 2023 | 111.00 Mn |
| Dec 31, 2022 | 118.53 Mn |
| Oct 2, 2022 | 128.16 Mn |
| Jul 3, 2022 | 118.98 Mn |
| Apr 3, 2022 | 124.75 Mn |
| Dec 31, 2021 | 142.86 Mn |
| Oct 3, 2021 | 111.15 Mn |
API Access
Arlo Technologies Revenue 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=revenue&ticker=ARLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ARLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();